From b2f5a8037b9d050db86870c40ee6bc4a9bbc1f61 Mon Sep 17 00:00:00 2001
From: Harshinichakka <111878618+Harshinichakka@users.noreply.github.com>
Date: Tue, 6 Sep 2022 21:58:42 +0530
Subject: [PATCH] Add files via upload

---
 Bigmart Sales Prediction.ipynb | 4930 ++++++++++++++++++++++++++++++++
 1 file changed, 4930 insertions(+)
 create mode 100644 Bigmart Sales Prediction.ipynb

diff --git a/Bigmart Sales Prediction.ipynb b/Bigmart Sales Prediction.ipynb
new file mode 100644
index 0000000..a4f8ad6
--- /dev/null
+++ b/Bigmart Sales Prediction.ipynb	
@@ -0,0 +1,4930 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b6bf5aec",
+   "metadata": {},
+   "source": [
+    "#  Problem Statement "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3fcfccc5",
+   "metadata": {},
+   "source": [
+    "The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a630334",
+   "metadata": {},
+   "source": [
+    "# Hypothesis Generation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d27ee9ac",
+   "metadata": {},
+   "source": [
+    "The Hypothesis generation are the various factors which effect the target variables. some of the hypothesis are:\n",
+    "         Brand: Branded products will have higher sales as these brands have customers trust.\n",
+    "         packaging: Any product of any brand with bad packing will not be taken buy any customer. so good packaging leads to more sales.\n",
+    "         utility: Products which are used daily like gorceries, home needs will bought by many people.\n",
+    "         Family Size: Family with more numbers needs products in bulk amount so, larger families leads to higher sales.\n",
+    "         population: stores in the area with more population will  also result in good sales.\n",
+    "         City type: larger cities with more population leads to more sales."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bd252dd",
+   "metadata": {},
+   "source": [
+    "# Loading Packages and Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9a4c318d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "train=pd.read_csv(\"Train.csv\")\n",
+    "test=pd.read_csv(\"Test.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa93d5b6",
+   "metadata": {},
+   "source": [
+    "# Data Structure and content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "359c4f0b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((8523, 12), (5681, 11))"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.shape, test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "16a499f8",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 8523 entries, 0 to 8522\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   Item_Identifier            8523 non-null   object \n",
+      " 1   Item_Weight                7060 non-null   float64\n",
+      " 2   Item_Fat_Content           8523 non-null   object \n",
+      " 3   Item_Visibility            8523 non-null   float64\n",
+      " 4   Item_Type                  8523 non-null   object \n",
+      " 5   Item_MRP                   8523 non-null   float64\n",
+      " 6   Outlet_Identifier          8523 non-null   object \n",
+      " 7   Outlet_Establishment_Year  8523 non-null   int64  \n",
+      " 8   Outlet_Size                6113 non-null   object \n",
+      " 9   Outlet_Location_Type       8523 non-null   object \n",
+      " 10  Outlet_Type                8523 non-null   object \n",
+      " 11  Item_Outlet_Sales          8523 non-null   float64\n",
+      "dtypes: float64(4), int64(1), object(7)\n",
+      "memory usage: 799.2+ KB\n",
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 5681 entries, 0 to 5680\n",
+      "Data columns (total 11 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   Item_Identifier            5681 non-null   object \n",
+      " 1   Item_Weight                4705 non-null   float64\n",
+      " 2   Item_Fat_Content           5681 non-null   object \n",
+      " 3   Item_Visibility            5681 non-null   float64\n",
+      " 4   Item_Type                  5681 non-null   object \n",
+      " 5   Item_MRP                   5681 non-null   float64\n",
+      " 6   Outlet_Identifier          5681 non-null   object \n",
+      " 7   Outlet_Establishment_Year  5681 non-null   int64  \n",
+      " 8   Outlet_Size                4075 non-null   object \n",
+      " 9   Outlet_Location_Type       5681 non-null   object \n",
+      " 10  Outlet_Type                5681 non-null   object \n",
+      "dtypes: float64(3), int64(1), object(7)\n",
+      "memory usage: 488.3+ KB\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(None, None)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.info(), test.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3038b091",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Item_Outlet_Sales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>7060.000000</td>\n",
+       "      <td>8523.000000</td>\n",
+       "      <td>8523.000000</td>\n",
+       "      <td>8523.000000</td>\n",
+       "      <td>8523.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>12.857645</td>\n",
+       "      <td>0.066132</td>\n",
+       "      <td>140.992782</td>\n",
+       "      <td>1997.831867</td>\n",
+       "      <td>2181.288914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>4.643456</td>\n",
+       "      <td>0.051598</td>\n",
+       "      <td>62.275067</td>\n",
+       "      <td>8.371760</td>\n",
+       "      <td>1706.499616</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.555000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.290000</td>\n",
+       "      <td>1985.000000</td>\n",
+       "      <td>33.290000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>8.773750</td>\n",
+       "      <td>0.026989</td>\n",
+       "      <td>93.826500</td>\n",
+       "      <td>1987.000000</td>\n",
+       "      <td>834.247400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>12.600000</td>\n",
+       "      <td>0.053931</td>\n",
+       "      <td>143.012800</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1794.331000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>16.850000</td>\n",
+       "      <td>0.094585</td>\n",
+       "      <td>185.643700</td>\n",
+       "      <td>2004.000000</td>\n",
+       "      <td>3101.296400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>21.350000</td>\n",
+       "      <td>0.328391</td>\n",
+       "      <td>266.888400</td>\n",
+       "      <td>2009.000000</td>\n",
+       "      <td>13086.964800</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Item_Weight  Item_Visibility     Item_MRP  Outlet_Establishment_Year  \\\n",
+       "count  7060.000000      8523.000000  8523.000000                8523.000000   \n",
+       "mean     12.857645         0.066132   140.992782                1997.831867   \n",
+       "std       4.643456         0.051598    62.275067                   8.371760   \n",
+       "min       4.555000         0.000000    31.290000                1985.000000   \n",
+       "25%       8.773750         0.026989    93.826500                1987.000000   \n",
+       "50%      12.600000         0.053931   143.012800                1999.000000   \n",
+       "75%      16.850000         0.094585   185.643700                2004.000000   \n",
+       "max      21.350000         0.328391   266.888400                2009.000000   \n",
+       "\n",
+       "       Item_Outlet_Sales  \n",
+       "count        8523.000000  \n",
+       "mean         2181.288914  \n",
+       "std          1706.499616  \n",
+       "min            33.290000  \n",
+       "25%           834.247400  \n",
+       "50%          1794.331000  \n",
+       "75%          3101.296400  \n",
+       "max         13086.964800  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "760d82dd",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>4705.000000</td>\n",
+       "      <td>5681.000000</td>\n",
+       "      <td>5681.000000</td>\n",
+       "      <td>5681.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>12.695633</td>\n",
+       "      <td>0.065684</td>\n",
+       "      <td>141.023273</td>\n",
+       "      <td>1997.828903</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>4.664849</td>\n",
+       "      <td>0.051252</td>\n",
+       "      <td>61.809091</td>\n",
+       "      <td>8.372256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.555000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.990000</td>\n",
+       "      <td>1985.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>8.645000</td>\n",
+       "      <td>0.027047</td>\n",
+       "      <td>94.412000</td>\n",
+       "      <td>1987.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>12.500000</td>\n",
+       "      <td>0.054154</td>\n",
+       "      <td>141.415400</td>\n",
+       "      <td>1999.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>16.700000</td>\n",
+       "      <td>0.093463</td>\n",
+       "      <td>186.026600</td>\n",
+       "      <td>2004.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>21.350000</td>\n",
+       "      <td>0.323637</td>\n",
+       "      <td>266.588400</td>\n",
+       "      <td>2009.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Item_Weight  Item_Visibility     Item_MRP  Outlet_Establishment_Year\n",
+       "count  4705.000000      5681.000000  5681.000000                5681.000000\n",
+       "mean     12.695633         0.065684   141.023273                1997.828903\n",
+       "std       4.664849         0.051252    61.809091                   8.372256\n",
+       "min       4.555000         0.000000    31.990000                1985.000000\n",
+       "25%       8.645000         0.027047    94.412000                1987.000000\n",
+       "50%      12.500000         0.054154   141.415400                1999.000000\n",
+       "75%      16.700000         0.093463   186.026600                2004.000000\n",
+       "max      21.350000         0.323637   266.588400                2009.000000"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6b36f6df",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart=pd.concat([train,test])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "ad2a5168",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Item_Outlet_Sales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>11765.000000</td>\n",
+       "      <td>14204.000000</td>\n",
+       "      <td>14204.000000</td>\n",
+       "      <td>14204.000000</td>\n",
+       "      <td>8523.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>12.792854</td>\n",
+       "      <td>0.065953</td>\n",
+       "      <td>141.004977</td>\n",
+       "      <td>1997.830681</td>\n",
+       "      <td>2181.288914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>4.652502</td>\n",
+       "      <td>0.051459</td>\n",
+       "      <td>62.086938</td>\n",
+       "      <td>8.371664</td>\n",
+       "      <td>1706.499616</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.555000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.290000</td>\n",
+       "      <td>1985.000000</td>\n",
+       "      <td>33.290000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>8.710000</td>\n",
+       "      <td>0.027036</td>\n",
+       "      <td>94.012000</td>\n",
+       "      <td>1987.000000</td>\n",
+       "      <td>834.247400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>12.600000</td>\n",
+       "      <td>0.054021</td>\n",
+       "      <td>142.247000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1794.331000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>16.750000</td>\n",
+       "      <td>0.094037</td>\n",
+       "      <td>185.855600</td>\n",
+       "      <td>2004.000000</td>\n",
+       "      <td>3101.296400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>21.350000</td>\n",
+       "      <td>0.328391</td>\n",
+       "      <td>266.888400</td>\n",
+       "      <td>2009.000000</td>\n",
+       "      <td>13086.964800</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Item_Weight  Item_Visibility      Item_MRP  Outlet_Establishment_Year  \\\n",
+       "count  11765.000000     14204.000000  14204.000000               14204.000000   \n",
+       "mean      12.792854         0.065953    141.004977                1997.830681   \n",
+       "std        4.652502         0.051459     62.086938                   8.371664   \n",
+       "min        4.555000         0.000000     31.290000                1985.000000   \n",
+       "25%        8.710000         0.027036     94.012000                1987.000000   \n",
+       "50%       12.600000         0.054021    142.247000                1999.000000   \n",
+       "75%       16.750000         0.094037    185.855600                2004.000000   \n",
+       "max       21.350000         0.328391    266.888400                2009.000000   \n",
+       "\n",
+       "       Item_Outlet_Sales  \n",
+       "count        8523.000000  \n",
+       "mean         2181.288914  \n",
+       "std          1706.499616  \n",
+       "min            33.290000  \n",
+       "25%           834.247400  \n",
+       "50%          1794.331000  \n",
+       "75%          3101.296400  \n",
+       "max         13086.964800  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "16ae2455",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((8523, 12), (5681, 11), (14204, 12))"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.shape, test.shape, bigmart.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "abbc85fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(Index(['Item_Identifier', 'Item_Weight', 'Item_Fat_Content', 'Item_Visibility',\n",
+       "        'Item_Type', 'Item_MRP', 'Outlet_Identifier',\n",
+       "        'Outlet_Establishment_Year', 'Outlet_Size', 'Outlet_Location_Type',\n",
+       "        'Outlet_Type', 'Item_Outlet_Sales'],\n",
+       "       dtype='object'),\n",
+       " Index(['Item_Identifier', 'Item_Weight', 'Item_Fat_Content', 'Item_Visibility',\n",
+       "        'Item_Type', 'Item_MRP', 'Outlet_Identifier',\n",
+       "        'Outlet_Establishment_Year', 'Outlet_Size', 'Outlet_Location_Type',\n",
+       "        'Outlet_Type'],\n",
+       "       dtype='object'))"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.columns, test.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "6d453051",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>Outlet_Type</th>\n",
+       "      <th>Item_Outlet_Sales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDA15</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Tier 1</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "      <td>3735.1380</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DRC01</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>Regular</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>Soft Drinks</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Tier 3</td>\n",
+       "      <td>Supermarket Type2</td>\n",
+       "      <td>443.4228</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FDN15</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>Meat</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Tier 1</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "      <td>2097.2700</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDX07</td>\n",
+       "      <td>19.20</td>\n",
+       "      <td>Regular</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Fruits and Vegetables</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Tier 3</td>\n",
+       "      <td>Grocery Store</td>\n",
+       "      <td>732.3800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NCD19</td>\n",
+       "      <td>8.93</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Household</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>High</td>\n",
+       "      <td>Tier 3</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "      <td>994.7052</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\n",
+       "0           FDA15         9.30          Low Fat         0.016047   \n",
+       "1           DRC01         5.92          Regular         0.019278   \n",
+       "2           FDN15        17.50          Low Fat         0.016760   \n",
+       "3           FDX07        19.20          Regular         0.000000   \n",
+       "4           NCD19         8.93          Low Fat         0.000000   \n",
+       "\n",
+       "               Item_Type  Item_MRP Outlet_Identifier  \\\n",
+       "0                  Dairy  249.8092            OUT049   \n",
+       "1            Soft Drinks   48.2692            OUT018   \n",
+       "2                   Meat  141.6180            OUT049   \n",
+       "3  Fruits and Vegetables  182.0950            OUT010   \n",
+       "4              Household   53.8614            OUT013   \n",
+       "\n",
+       "   Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\n",
+       "0                       1999      Medium               Tier 1   \n",
+       "1                       2009      Medium               Tier 3   \n",
+       "2                       1999      Medium               Tier 1   \n",
+       "3                       1998         NaN               Tier 3   \n",
+       "4                       1987        High               Tier 3   \n",
+       "\n",
+       "         Outlet_Type  Item_Outlet_Sales  \n",
+       "0  Supermarket Type1          3735.1380  \n",
+       "1  Supermarket Type2           443.4228  \n",
+       "2  Supermarket Type1          2097.2700  \n",
+       "3      Grocery Store           732.3800  \n",
+       "4  Supermarket Type1           994.7052  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "96263028",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>Outlet_Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDW58</td>\n",
+       "      <td>20.750</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.007565</td>\n",
+       "      <td>Snack Foods</td>\n",
+       "      <td>107.8622</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Tier 1</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>FDW14</td>\n",
+       "      <td>8.300</td>\n",
+       "      <td>reg</td>\n",
+       "      <td>0.038428</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>87.3198</td>\n",
+       "      <td>OUT017</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Tier 2</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NCN55</td>\n",
+       "      <td>14.600</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.099575</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>241.7538</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Tier 3</td>\n",
+       "      <td>Grocery Store</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDQ58</td>\n",
+       "      <td>7.315</td>\n",
+       "      <td>Low Fat</td>\n",
+       "      <td>0.015388</td>\n",
+       "      <td>Snack Foods</td>\n",
+       "      <td>155.0340</td>\n",
+       "      <td>OUT017</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Tier 2</td>\n",
+       "      <td>Supermarket Type1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>FDY38</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Regular</td>\n",
+       "      <td>0.118599</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>234.2300</td>\n",
+       "      <td>OUT027</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>Medium</td>\n",
+       "      <td>Tier 3</td>\n",
+       "      <td>Supermarket Type3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility    Item_Type  \\\n",
+       "0           FDW58       20.750          Low Fat         0.007565  Snack Foods   \n",
+       "1           FDW14        8.300              reg         0.038428        Dairy   \n",
+       "2           NCN55       14.600          Low Fat         0.099575       Others   \n",
+       "3           FDQ58        7.315          Low Fat         0.015388  Snack Foods   \n",
+       "4           FDY38          NaN          Regular         0.118599        Dairy   \n",
+       "\n",
+       "   Item_MRP Outlet_Identifier  Outlet_Establishment_Year Outlet_Size  \\\n",
+       "0  107.8622            OUT049                       1999      Medium   \n",
+       "1   87.3198            OUT017                       2007         NaN   \n",
+       "2  241.7538            OUT010                       1998         NaN   \n",
+       "3  155.0340            OUT017                       2007         NaN   \n",
+       "4  234.2300            OUT027                       1985      Medium   \n",
+       "\n",
+       "  Outlet_Location_Type        Outlet_Type  \n",
+       "0               Tier 1  Supermarket Type1  \n",
+       "1               Tier 2  Supermarket Type1  \n",
+       "2               Tier 3      Grocery Store  \n",
+       "3               Tier 2  Supermarket Type1  \n",
+       "4               Tier 3  Supermarket Type3  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a5da1c0",
+   "metadata": {},
+   "source": [
+    "# Exploratory data Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e44e56bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'     Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\\\\n0              FDA15        9.300          Low Fat         0.016047   \\n1              DRC01        5.920          Regular         0.019278   \\n2              FDN15       17.500          Low Fat         0.016760   \\n3              FDX07       19.200          Regular         0.000000   \\n4              NCD19        8.930          Low Fat         0.000000   \\n...              ...          ...              ...              ...   \\n8518           FDF22        6.865          Low Fat         0.056783   \\n8519           FDS36        8.380          Regular         0.046982   \\n8520           NCJ29       10.600          Low Fat         0.035186   \\n8521           FDN46        7.210          Regular         0.145221   \\n8522           DRG01       14.800          Low Fat         0.044878   \\n\\n                  Item_Type  Item_MRP Outlet_Identifier  \\\\\\n0                     Dairy  249.8092            OUT049   \\n1               Soft Drinks   48.2692            OUT018   \\n2                      Meat  141.6180            OUT049   \\n3     Fruits and Vegetables  182.0950            OUT010   \\n4                 Household   53.8614            OUT013   \\n...                     ...       ...               ...   \\n8518            Snack Foods  214.5218            OUT013   \\n8519           Baking Goods  108.1570            OUT045   \\n8520     Health and Hygiene   85.1224            OUT035   \\n8521            Snack Foods  103.1332            OUT018   \\n8522            Soft Drinks   75.4670            OUT046   \\n\\n      Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\\\\n0                          1999      Medium               Tier 1   \\n1                          2009      Medium               Tier 3   \\n2                          1999      Medium               Tier 1   \\n3                          1998         NaN               Tier 3   \\n4                          1987        High               Tier 3   \\n...                         ...         ...                  ...   \\n8518                       1987        High               Tier 3   \\n8519                       2002         NaN               Tier 2   \\n8520                       2004       Small               Tier 2   \\n8521                       2009      Medium               Tier 3   \\n8522                       1997       Small               Tier 1   \\n\\n            Outlet_Type  Item_Outlet_Sales  \\n0     Supermarket Type1          3735.1380  \\n1     Supermarket Type2           443.4228  \\n2     Supermarket Type1          2097.2700  \\n3         Grocery Store           732.3800  \\n4     Supermarket Type1           994.7052  \\n...                 ...                ...  \\n8518  Supermarket Type1          2778.3834  \\n8519  Supermarket Type1           549.2850  \\n8520  Supermarket Type1          1193.1136  \\n8521  Supermarket Type2          1845.5976  \\n8522  Supermarket Type1           765.6700  \\n\\n[8523 rows x 12 columns]'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "str(train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a40a9569",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'     Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\\\\n0              FDW58       20.750          Low Fat         0.007565   \\n1              FDW14        8.300              reg         0.038428   \\n2              NCN55       14.600          Low Fat         0.099575   \\n3              FDQ58        7.315          Low Fat         0.015388   \\n4              FDY38          NaN          Regular         0.118599   \\n...              ...          ...              ...              ...   \\n5676           FDB58       10.500          Regular         0.013496   \\n5677           FDD47        7.600          Regular         0.142991   \\n5678           NCO17       10.000          Low Fat         0.073529   \\n5679           FDJ26       15.300          Regular         0.000000   \\n5680           FDU37        9.500          Regular         0.104720   \\n\\n               Item_Type  Item_MRP Outlet_Identifier  \\\\\\n0            Snack Foods  107.8622            OUT049   \\n1                  Dairy   87.3198            OUT017   \\n2                 Others  241.7538            OUT010   \\n3            Snack Foods  155.0340            OUT017   \\n4                  Dairy  234.2300            OUT027   \\n...                  ...       ...               ...   \\n5676         Snack Foods  141.3154            OUT046   \\n5677       Starchy Foods  169.1448            OUT018   \\n5678  Health and Hygiene  118.7440            OUT045   \\n5679              Canned  214.6218            OUT017   \\n5680              Canned   79.7960            OUT045   \\n\\n      Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\\\\n0                          1999      Medium               Tier 1   \\n1                          2007         NaN               Tier 2   \\n2                          1998         NaN               Tier 3   \\n3                          2007         NaN               Tier 2   \\n4                          1985      Medium               Tier 3   \\n...                         ...         ...                  ...   \\n5676                       1997       Small               Tier 1   \\n5677                       2009      Medium               Tier 3   \\n5678                       2002         NaN               Tier 2   \\n5679                       2007         NaN               Tier 2   \\n5680                       2002         NaN               Tier 2   \\n\\n            Outlet_Type  \\n0     Supermarket Type1  \\n1     Supermarket Type1  \\n2         Grocery Store  \\n3     Supermarket Type1  \\n4     Supermarket Type3  \\n...                 ...  \\n5676  Supermarket Type1  \\n5677  Supermarket Type2  \\n5678  Supermarket Type1  \\n5679  Supermarket Type1  \\n5680  Supermarket Type1  \\n\\n[5681 rows x 11 columns]'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "str(test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "015c9972",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier               object\n",
+       "Item_Weight                  float64\n",
+       "Item_Fat_Content              object\n",
+       "Item_Visibility              float64\n",
+       "Item_Type                     object\n",
+       "Item_MRP                     float64\n",
+       "Outlet_Identifier             object\n",
+       "Outlet_Establishment_Year      int64\n",
+       "Outlet_Size                   object\n",
+       "Outlet_Location_Type          object\n",
+       "Outlet_Type                   object\n",
+       "Item_Outlet_Sales            float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "af6fcfa5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier               object\n",
+       "Item_Weight                  float64\n",
+       "Item_Fat_Content              object\n",
+       "Item_Visibility              float64\n",
+       "Item_Type                     object\n",
+       "Item_MRP                     float64\n",
+       "Outlet_Identifier             object\n",
+       "Outlet_Establishment_Year      int64\n",
+       "Outlet_Size                   object\n",
+       "Outlet_Location_Type          object\n",
+       "Outlet_Type                   object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "5295b782",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier                 0\n",
+       "Item_Weight                  2439\n",
+       "Item_Fat_Content                0\n",
+       "Item_Visibility                 0\n",
+       "Item_Type                       0\n",
+       "Item_MRP                        0\n",
+       "Outlet_Identifier               0\n",
+       "Outlet_Establishment_Year       0\n",
+       "Outlet_Size                  4016\n",
+       "Outlet_Location_Type            0\n",
+       "Outlet_Type                     0\n",
+       "Item_Outlet_Sales            5681\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf8a791f",
+   "metadata": {},
+   "source": [
+    "## Removing NULL values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "7560b8a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Item_Weight']=bigmart['Item_Weight'].fillna(bigmart['Item_Weight'].mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "dd085bff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Outlet_Size']=bigmart['Outlet_Size'].fillna('medium')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "1e5fc040",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Item_Outlet_Sales']=bigmart['Item_Outlet_Sales'].fillna(bigmart['Item_Outlet_Sales'].mean())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f17e283",
+   "metadata": {},
+   "source": [
+    "# Univariate analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "1b24a04f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "H:\\notebook\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Outlet_Sales', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(bigmart['Item_Outlet_Sales'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "b96b1839",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Weight'>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.boxplot(x='Item_Weight',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "d7a3a9dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='count', ylabel='Item_Type'>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(14,8))\n",
+    "sns.countplot(y='Item_Type',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "63818c23",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_MRP', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(bigmart['Item_MRP'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "f27780ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Outlet_Size', ylabel='count'>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x='Outlet_Size',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "3e52e398",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Outlet_Location_Type', ylabel='count'>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x='Outlet_Location_Type',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "994e7b2b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Outlet_Type', ylabel='count'>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,6))\n",
+    "sns.countplot(x='Outlet_Type',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "abfe69b1",
+   "metadata": {},
+   "source": [
+    "# Bivariate Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "5f9b4939",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Weight', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(14,6))\n",
+    "sns.scatterplot(x='Item_Weight',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "c60f7b9d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Fat_Content', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(x='Item_Fat_Content',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "106ba67d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Visibility', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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wiCel/vqmes4bnR236jya4lvV2NnjfiTxQljDs5I0jeCmunauX/Vlj/qRjMpOUp2gw2LSPJ9BcETD+m2t9v62jluHjv5Eb1hb7wOLgfuBGcjaW0KSpMX9N7z+wdGwto42NxGPhfXMj0/lyr980mN2Vm/6kcS75hsLJrG1vqNHLKt455g3uYB3tzfwszML2d3YSWFmIr99fZuqG7agvIiirESmDM864vP5tvbV+LaOW4eOY8Uxs7YAuyRJ64QQQpKkauAOIcR7yM7laAZ0A3ANciJ/E7JjcgCrgKHAXmCOJEktof1vAa4GAsB8SZL+Hdo+AXgKsAOvAQuknnrHHuJYktTxwj/NLm+vYu2ZSXI/kvlTinhgffcqZqlGP5J41zzQ7lbDZjsPdrCprl11ItHXj3cOk8HApafmcUPYs7h9+iiSbSYGJFnxBYIMTnEc/oGG8G2t9v62jluHjv5CbwoS3UIIA7BLCHGdEOIiIPNoLiqEyAHmA2WSJJUCRuAy4GZgnSRJRcC60GuEEKNC75cA04BHhBBKI45HgXlAUejftKMZ0+FwLP0k4hXtKXpU0dvjhYQMAi47JY9VFTVcfUYB88sLuX/OOMYNSYlxZofrJaIYweKsJJ58v0p1ItHXj3eOoQMSWLJ2a8SzuGvtVgwGAz/6y6fMffJTvvfg4Ysoj0ZGv79xPI5Jh45vC3rjSK5HXjHMByYAc5F7kxwtTIBdCGEKnXc/MBN4OvT+08CFob9nAs9LkuQJqQ5XAqcKIbKBZEmSPgytQp4JO6bPcCz9JOL19RiZlczdF5ZGbL/7wlLy0mJn88GgxJb97TzzYTXTx+QgBASCcNfarRGOILxG5PG5ZeRn2COuGb5yOZp+JAvKi9jf6tJ8FtsPtPfI0fZ1t8C+gNaYXt24H78/eOSDdejQ0auCxE9Df3YKIRYCrUcbQpIkqU4IsQyoAbqANyVJelMIkSVJUn1on3ohhLLiyQE+CjtFbWibL/R39PYYCCHmIa9cyMvL69V4j4WpE4+FtbfJyYMhBWAhQJLgwfW7GJ+XRsHAxKhKeBO1LS5aXF4efqdScwzxlHhzUm2ka1TQ97YfycBEG3uaOtlU26b5LOI1q4oO/xyPdRjxxCfTHBbOKByg5z906DgCelKQeDuwWpKk7UIIK/AGMBbwCyEulyTp7d5eVAiRhrzKGAa0Ai8IIX5wuEM0tkmH2R67UZJWAitBTrb3ZrxDMxJ46PKT2VjbRlACo4DRuSk9ZupoxdQPtrupbuqKcAwA1U1O8tIcMYV+t0wbwQ1Ti7n/7Z3qtnsvGq2OIZ4xPJxESU9j/ZIEQsCZRZkUZSaSk+bg9jWbI8axYt3OiGPiOdrjsQ4j3pgqqpvJTbPruRAdOo6AnqxILgWWhP5WQlkDgWLk8FOvHQkwFdgjSVIjgBDin8DpwEEhRHZoNZINNIT2rwWGhB2fixwKqw39Hb39uEYwKOGwGJlfXkhQghc/q1VZU1/sa6Xd7Wf5WzsinMJv39jOgvIidQVjEDA+L7VfpFWUMcajED/8TuRK6rmP97Lw7OExhZJajrY/K/ePFvHGFAgeuR7maKHrdek4kdATR+INC2Gdi5yrCADbQvmNo0ENMDEkBNkFlAMVgBPZWf0u9P+a0P6vAM8JIZYDg5GT6p9IkhQQQnQIISYCHwNXAg8e5ZjiD7bZya6DnWqTKCVfUDgwUseqJ4gndLiqooZLy/J49qNqWlxetemVArcvSJcvwMPvVKqGOi+921D3daFcvBDUI1eMj1hJZafYuHh8LnazgVXzTsMXCGiG0hTkpTlYeskYTafzTelYDc1IiBmT8plcMj6nz42+rtel40RDTxyBRwhRChwEzgJuDHuvZzzPKEiS9LEQ4h/A54Af+AI57JQIrBZCXI3sbGaH9t8ihFgNbA3tf23ImQH8jG767+uhf32Kg+0etXAQuqVAxuel9dqRxOuW+Mjl49l2oF3dZoyiQdjMBspHZDJl+ED8QTjU6WFTXRupDhP7W+UCwb4slIu3wkmwdhchZqfYmDsxP4KOvHzOOMbnpWsaREWba/lbO1hQXsSQNAdGg6A4MzHus/k68icGg+B7pdmkOSxUVDcTCMKqihpumjaSvDRHnxv94zFPpEPHsaAnjmQB8A/kcNb9IdYUQojzkR3AUSFUyBhdg+JBXp1o7X8PcI/G9gqg9GjH0RM4vX5No+ry+jX3P9wMNp6B/nxfK0+8V6XOhMvy01WDHc70emXTfm57uTs/sXhGCX//uJqdDZ08dPnJvD5/Eg0dHpxeP/npR19tnZ1iU0NvABt2NHDmiEwkKchvLxrNLS9t4uLxuaoTUe5DMYgKoSD8GSgGNM1hQZLgxn98FXF/A5Ms31j+xGQycEbhAHLT7DR0uLlkfE7EmPvS6B+PeSIdOo4FPdHa+hgYobH9NeQCQACEED+UJOnp6P1OBOSnJ2iGjfI0DHU89tTgVBsZCVYyk+J3S1RWJyvnlnF6QQavRTGqNtW1qk4E5P3vfHULv581lvl//4Ila7dq5ip6O3sOBiW21ndEhPIWzyjhxc9qsJmMai1LXrpdHYsS4hICGjs8VB3q5LrnvogYR5rDjNsXjOuAVs2b2Oc6Vr0JS8UjRfS10df1unScaOhNHcmRsKAPz3VcYdgA7ZqLYQNiHUn4rPvaswq5ZlKBrJO1t4XzH3iPPU2dMedaNH0U7+2UeQVuXxCzUWAyGSgYmMjEggFqh8H6Nm2j1hVaGU0fk6Mp6tiTwkmte4h2WD/9biFuf4AZY+ValkOdHrW4cu7EfJ58v4qH1lfyw798wq6DnaQ5LBHjULS5hNDuJe/yBg5b29Jb9EXNyuGKO48WR6rh0aHj24ajTZZr4YTNEh6p5iIcB9vdpDksMbmDRdNHkeawcN1zX/Dv6yexcm6ZGo9fuWE3l5bl0djppcXlJSs50kgps+r0BIvmTNZukT9Go0HbQPd29qw1C09zWGhx+SJWKXfNGMX9c8YRCEpqmEq55op1uyIIA25fkA63l+VzxrHjQHvcGXlmko1HrhhPgsVEgtVIly/A3ian+rx7s8Loi7BUf4g09ub7pEPHtwF96Uj+JzQljlSCmZUsS8NHh26WrN2qGtYDbR4WrdmkVqnPGJvDqooaZpflMmJQcoSRCg+VFWcmsnhGCXe+uiUi5PTEht3YzAZGZicfc8hEpibHqvrOLstl0ZrusFqaw0KTy8ftr27lmkkFmg5MhNlFm9mA2WhkWslARmUnkZ+RwK0vbYowznuaIsNhC8qLeOZDmcW2fM44zhmZFVNfc7jQXV+EpfrL6Ot6XTpOJOgrkh6gN3TNoRkJFGcmxTWs+Rl2EBLzJp+kalYpdNOTMhPxB4LsOeRUe6uHz6o31rXDx9UsmzUWgwESrSbaunz8ZPJJ1La4ePSdSu69aHSEgV56yRianB51bAaDwO8PsqW+jSanh2SbBa8/yKAUm1oIufSNbSyaPoola7eS5rAwuyyXkwYmRtzTxeNzI5hs8eTklZ4reekO7BZZHm3ogETy0hMYNyRVNc4GAdNWvBd3VaPkUHq6wojnEG1mAwIR0f/lSIhn9PVaEB06ZPSmH8kwhbEVZ9t/+3RkxxF6EyIxGETclUGy1cgvphTx38omNUSknO+B9btYNmss1/39C9VRnTMyi8YOD9dMKsBuNmAQAqc3QG2ri9w0BxXVLWqlfbrDQpvbx/i8VF6bP4mD7W58AYlFazapEu/L54xj6vBMXtm0nwfX7+LSsrwYJeHlb+2guqmLDrePhVOLSLCZWbJWXnWE037z0roT7S9+VhujSnz3haW4vX6um1IY4TDj9Vz5cPchTeebl27nuimFatFmT1YYiuNf+sa2mHEtKC/i+lVfqqucY2kzrNeC6NAhozcrkheB8VHb/oEs4IgkSdf11aCONyh5D4WVBLLxjBciUZLz4Ubm3otGU5iZwJw/fRQ3FFR1yKn+vfSNbfgCwQgG1oLyIl78rJYfn57PvmaX6ozyM+zcPG0kt5w3kkAQlQQQ3k9EcX5/vfo73PbyZq4+oyAm/HbTixvVFcBrG+u58dwRVFQ3c82kArbUtrJ8zjhqm50k2Mzsb+tSHUt9m5tnP6pm3uQCSrJTKMpKJC/NwZb6Ni5d+VGPHHA8JlNNcxdPvl/FgvIi0hzaOaLo0F2443/2o2quPqOA/HQ7ta1dPPNht2z+wtVfMmrBJIISvV5VHGv+RV/N6DiR0BOtrRHI8u0pQoiLw95KJqxT4omM7BQbP/tuAYecXnUF8LPvFjAoOY7ku0ZcPS/NwTs7Gw4bCvKEqc1qMbCUUE92qoNfhZLb2Sk2Li2L7A+y9JIxDEy0ajqrA6G8QTzmlD3EwppWms28ZytUR/XTyYUsXP0lV59RwPK3d5HmsETM9ltcXuxmI8MHdVf7u7yBHucotJLaStMt5d5vPW9E3Kr4cITnRurb3Dz8TiXXTSnkofWRumZpDguf17TG5GqOpc/MwfYj51/01YyOEw09WZEMB6YDqcidERV0AD/phzEdd5AkcHoDMRIph0u8h4du/P4g/9pcT1VjJzazQTMUtPDsYv7y373q8fEYWFaTAZenu0BSqybjphc38pcfnaLprAaF0Vm13j9laDpGg4jIf0wfk8Oda7eoDkhZnRkMcN+ssew55KRgQAI2i+GoZVsMBsE5I7NYNW8i+1q62FbfEdt0q9PLqMHJMfU18fqxhF/XKGLvd3ZZrupElGv0dFUR7958AYlgUDqsQ9Ar23WcaDhiHYkkSWskSfoxMF2SpB+H/ZsvSdIHX8MYv3E0dGhLpDR0eI54bDAo8UFVEze9uJF3tjeweHoJLS6vGgpaNmsMC8qLGJxiJyfVChDBwAqHzWygNCdZpQEDcVcWjR1ufnvRmJhahTGDU7j7wlK122L4+/OnFPHVvhZywvIf0ddItBq58jS5ZuR3r+/gV//4CrNRkJtm58yizAgD2pt6Cb8/yAdVTazb3oAkwdqNdTFNtwwC0hOsMfU10Yi+bn6GnVOGpbNs1lgWlBeqTcXikSJ62mdm6SVjYp7fojWbjli3cyz9bXToOB7RmxxJkxBiHZAlSVKpEGIMcIEkSXf309iOG7h6KZESjppmJ/VtXbh9QSYVZ/LYhkp+P2sslQ0dBILwh7d2qsq/j/1gAolWI4EgPPZuJcvnjGP7gXaCErz6VR2XnZLHb17ajMUkWDKzlEVrNgPaK4sdB52s3VjHyrllmI0iIg5/4VhZ/uPz6mZ+P2ssew858fiDrKqo4cZzRiA0Zu/Ka39A4qF3KtWw2sXjc+nyBahvd1PX2sWo7GSEkENKWck2zhmZdcQVRDAo8a/N9REhq8XTS3hsQ2VML/gj1W8ouYeBSRZWzZuINxBkf6uba56uiMhXjc9LJRDUvs+e9pkZnGqLUEFWVlBHohfrle06TjT0xpE8DvwK+BOAJEkbhRDPASe8I0lPsGr+8JXK7XgIBiU+r2llf2uXWtFd3dTFzoMdMfF6ty/I5zUtXDguB4OAc0qzI2LoiqaWMkt/6J1drJo3EV8gyEkDErglLM6v5Bbq29zMe7ZC7UkS3kExO8VGbnpCxDUWlBdx72vbsJgEd80sVXuOvPpVXfdrf1B1ItFFlwvKi6hrcRGQiKj/mFYy6LCGdW+TMyYfdOfaLfxp7gR8gSBJVjNZyVby0g+fkNbKPfzlR6ewu7GTayYVADJJ4taXNvHa/EmapIjeFBtmJFh58v2qXjuE/ihy1KHjm0RvHIlDkqRPhIj4IR95Sn4CwO3zsXh6iZonUGbMHv/hb39vk5NbX9qkJqY9/sBh8xOBoLyCEUKoRYfy9WWJkuvOKpRrSQCvX1JXRcMGOHjmqlOpb3VjMAge37A7MrfQ4WZoRkKEkc3PsHPPRaN58LKTsZoNmI2CulY3t54/ksc37ObhkKPq8gWwm40sWbuFW88bQVFWEk+8V6WZm1mxbhf3zRrLr/7xVUT9R868iYzOSY3rBOKFej6rbuGkgYlMGZ51VEyqNIeFqkPOiNyW4mSVVcOxFBserUPQK9t1nGjojSM5JIQ4iVAFuxBiFlDfL6M6ziCEgcc2VEaEMR7bUMl9l4w97HGKgVTosVeels+i6aNYuWF3TLL9hqnFPPdJNacOS+NAnHqJIWl2rj2rkCSbkWSbmR/+5RPSHBauPC1fzeEoxrKx06uGzDKTbBFGVmF6hYd7wqvIF08v4e+fVNPlCzCxYAAf7j6E1y9hNhq5+Z8bmT+lCLdfm5GlEAGU+YbbF2Td9gbqWt1xWUmHayx104sbGZ2T0qMkdLRDunh8rlrDoozlgfW7mDe5gIGJNnV1lpVs49ShGb025MfiEPTKdh0nEnrjSK5F7hkyQghRB+wBDtce94RBs9OL199N0RJCXhG0uLwR+0XXBihKvwrLyekNIIA7Zoyi0xNg2ayxVB1y4g/KtNtfnjOcNpdPsyI7P8OONyDx5PtVXH1GAX98W3Yc0RXmirG87qxCvIEghZmJSBI0uzyqE7nl/JH8+jDaWHeu3cKyWWPVEE1Wso15k09S9bTe2FzPr84doWn8G0NCjgqjTXEIh2MlHYn621NJk2iHFI+IUJyZFCPHokW/7Umth+4QdOjohSORJKkKmCqESAAMkiR19N+wji9kJ9tiZv0LyosixBXDq6mnj8nBaIDvDEvnTz8Yz9b6johj75pZyupPq6moblOPV87p9AZIthpZUF4UcczN00aqtSLhBjKescxJs3PLPyOlUsryU5gyYhCVDR2ax4SvIiRkA+/3B+no8iEB10wq4MXPaplUnMltazbFrKpunz6KP23YzYLyIl7fVM/88kKGpDlo6JALOg+2y+E2xTDnpTmoaXFxsN3N8Kwk/vHT03hz60ECwe7EdW+S0NEOSYvyazMbSHGYue3lw9N+j9daD72QUcfxiJ4UJC6Msx0ASZKW9/GYjju4fAFN+u/JeanqPnubnCx9Y1uM7Mi9F43m+U9rIo69fc1mfj9rLBXV3X3B3L4gTm+AFz+r5aeT5RDavMkFBCW5P3tQkjRZVNF/K6/3HHJq1pb8+KlP+cWUQs1jwlcRA5Is+P3BmEZaN0wtRkKiuqlLrRpXwn0ZiVYuOyWPEdlJpDks3BEmLvmrc4cD3dX2+Rl2fjGlKOLcy+eMY0xuSsxKoadJ6OhQ06BkGwUDE2Na6N72siyYGd0ueOfBDiRJruE52O7RrPUY/otJCNH7Svi+wPHq3HTo6MmKJOkw7/1PKP62u32aM/h2V3ey/WC7m+ljcmIS0Le+tEmz/7o7ijqsGPL6NjePbajiytPyOSU/DSEEXn8Qu9WoGv/wgsYXP6uNWb3ce9Fo7vv3jpjxtri8pDksJFpMMccoORKFSPCHf2/nlvNGxTTSuv/tnTx6xXgWlBeyuqJWvS+b2cCqeRMxGwVJVhM/e/XzCIpwW5cPl8dPmsNCfZv8rKLPvXD1l/zrF5OOSBc+HKJDTY2dHk2KrtLKeExOMpeemhehB7agvCjuSm/bgXbu+/d2ddV5Sn46pxVkYDL1ZWsfbeiFjDqOV/SkQ+KdAEKI/5MkKUKYUQjxf/01sOMJiVZtFVmHzai+zkq2xa1G1+q/npNmV89pMxu49bwReANBll48GofVRIvTQ0Onh9+8tFmdwSvMsfo2N6sqanjo8vFs3d+OUcCf5k7AKCDJaqbZ5WVOWS6rK2pV9pbNbCAYlKu5f/vGdoozE9U6FYvRgFHAr6cNx2Yy8ui7lWysa6ehw6PNpqqR2wKHJ+gXlBfx1b5WHv1PFddPLYpLEV40fRQdbh9pdu22uo2dbrXYsC+QkWBl7cY6VbL/kgm5vPpVHWX56bL0y5mFMcZZYZ9pfeb7W1wxq84/XjqOoswkGjr6d5Wit+jVcbyiN8n2B4kVbdTadsIhxW7mV+cO575/74gI1aTazOo+QzMSOCWszzp0S6iPyEpSZ/AtLi93XlBCQ3sXK+dOoMPtJz/DwY6DndwbVguyoLwIQJ3BVzd1qcWMSgjG6fHx909qAPjx6fmkJ9q45uXPNJlY86cUsXLDbn4yuUBuk5tmZ8eBdl6IcjZXn1HAxjq58VQ8B6q0BVYM7vYDHep1rj6jgFSHhfnlhRRlJqmaYNDdl+W+WWPjFj32NB/S01xBXpojJoR294WlTByazgOXncy67Q2axnnPIWdMDujei0azv7VLLchUPp89h5xcv6r/w016IaOO4xU9yZGcBpwODIzKlyQDRu2jTiwUD0yi6pAzImcxMMlKcWZ31M9gEORl2CP6eEQn6JfMLGXoAAdVBztwBQW3PCsb/fnlhTGy8ivWyTTVi8fnquGj8GJGm9nAvMkF/HRyAW5/kE6vn+VRCeRwQ//sR9UAdLr9ahGdskJY9UkNG+vacfuCDM1wsKC8kHSHBV8wEBMCU9hUyjV2HOyICNsl2Yy0urys3FAVV+V4x8EOXv2qLqZJV0/zIb3JFdS0uGJCaLe9vJnxeWm4vAGCUnwBzb9/Xsu8yQWcPCSV/IwEDEIOL0VTjKPzZ/0Vbupt3YqemNfxdaEnKxILkBjaNzxf0g7MOtoLCyFSgSeAUuRcy1XADmAVMBTYC8yRJKkltP8twNVAAJgvSdK/Q9snAE8BduA1YIEkHamPYe9Q29bFr/+xMcbYlM6PrG/Y3+rmofVyvcmEvFR+/tznEQZm0ZrNLCgvotMTUI15doqNnBS7psENSqhMKmV1k5NiVw39YxuqmF2We1ijXd3kVA39tWcVcmdUXcWStVtZPmccj71byZkjMtV+5maToLa5iwSLkXmTC8hJtVPX2hUhpBieoFde56U5WPhC9ypEy0in2k1cdkoeGQkWHr+yDI8vwNCMhLjaWdE4XK5gaEYCe5ucNDk92M1G6lq74oaDMpNsquZYdPjtofWVtLi8jBiUzHeLM9U2v9Grzni5lPDEvSIXc6yGvDd1K3piXsfXiZ7kSP4D/EcI8ZQkSdV9eO0VwBuSJM0SQlgAB3ArsE6SpN8JIW4GbgZuEkKMAi5DlrMfDLwthCiWJCkAPArMAz5CdiTTgNf7cJwcaNPuRxItGZ6VbKPF5eXhdypZevFoTQMzJN3BwVDBoZJDCO/toUARKQTZiUSvbm6fPoofnp6vVrgrx0SfY8LQNHV7vBxOVWOnZsK5bGgqTZ0+Djm7e8krtTOKbMtj/+lOti8oL8Ll6y5U3LCjIUYv7Irv5FOclcShTi97D3XiDUh4A0GMBkFemgOL5ciL3MNJuG8/0MHSN7Zx1enD8ASCOD1+zecyMNHGnqZOLjslj+c/reG6swoZlGIjK8mG1SJ46PKTyUiwRMiyGAyC0woyIqTs41GMN9W1c/2qL2PaBSuG/GhXCz2tW9ET8zq+TvQmR/KUECJmpi9J0pTeXlQIkQxMBn4UOocX8AohZgJnhnZ7GngXuAmYCTwvSZIH2COEqAROFULsBZIlSfowdN5ngAvpY0eSYDFq1pHYzZFGLzz0kGzXzi/sPNhBXrqD/Ay7yvKK7u2hNKpy+wMMTLRSMjiFBc9/EWEU7lq7lXmTCxibm4rNrC1NP39KEYFAUGVB2c2miBCaMqaCAQkRq4jwsNiyN7dzz0WjaXP5aOr0sOLScXT5gqQnmKlvdbH0kjEAOCxGDrR5sJoMahHmtCi9sNunj8IkYN6zn6mhPyXfYDMb+O1Fo5kxZrBaWxLPwMbLFTgsRn781KdcfUYBTaHw2mnD0rn7wtKIHMmSmaWYjHDdc1+o40h1WCL2UUQi89ITYoz+90qzGZ2TolKMhw9KPmwflevOKmTZmzsjVk3Rq4Wll4zhe6XZfcb+0hPzOr5O9MaR3Bj2tw24hKPX2ioAGoG/CCHGAp8BC5CVhesBJEmqF0JkhvbPQV5xKKgNbfOF/o7e3qfo9Po160jGDUnhq30t1Le5GZxqJ8lqIs1hZvX/O40WpydC+DDcwLS4vDx8+Xi+qm3F7euWULn6jAKSbEYGJtoiGlUtmj6K4sxEJhVnRqyIghLctXYLd15QwuJXtqjS9PnpCdS3dbGqooYJ+WMpGCir5tY0O/ntRaMjBB4XTR9Fst2kJvUVuH2y3El1UxfXPF3Bqp9MpK61iwVhSeUF5UUkdXo5Z9Qg3tx2kIWrv+T6qUUsKC+iyxeIoULftXYrC8qLuPqMAkYMik3E3/LSJjISrWpDrXjhmHi5Am9AFpQUAoKSnAifWjKIB9fLVftGA4wYlMyf399NXrpDffadngAr1m2J+XznTS5gWEYiOw52aIaIFIOcl57AiPmT2Hmwg0117TF9VAYl28hOsanKwABL39im0pIBlr+1gzSHhTMKB/RJ6ElPzOv4OtGbyvbPojb9Vwjxn2O47njgF5IkfSyEWIEcxooHrV+WdJjtsScQYh5yCIy8vLxeDdbt09aVauzw8usXu43ewrOLCQQljAJGDk4hL83Go1eM57Oa1ogaBoBWl5firCT1x6508ptfXshvopLmKzfsZt7kk2JCTwApNrOaeA+lNzAYINVu4vqpxTgsRvz+oGrobzp3OAvKixiYaKWmxaXmApQQTHj+w+X1c+1ZhQgBnkCQv31cHWNsF5QX8WVtq2pon/6gmp9OLoiQWAfUnusDE62sWLc5bk6norq5R+GY4VlJPHLFeBKsJrKSZGXgmmYn88sLyUmxk2AzceVp+eozC693ufqMAlze7pCX1WTQHEtQkkU0jxQiUsJNgMreUmAzG6hpcXHx+FyefL+KzCQbTU5PDIV4/pQitte3kZtm75MVg64wrOPrRI8diRAiPeylAblX+6CjvG4tUCtJ0seh1/9AdiQHhRDZodVINtAQtv+QsONzgf2h7bka22MgSdJKZK0wysrKepWMT7Vr9wqvbOyMMDDL39rJgvIi/EG47eVN3HVBCV/uk2suoo8dkGTlD//eobK8lB/7kDRHjFGbPiYnRnxQCZmEa2CFn3/ZrLFc9/cv1LDJ8rdk6nKTy4ckwYp1myOOUWbgD6yTGWG/OX8kLm83KeCJ96oi5OmVcWQl29jf6lLPVd/m5sXPa5l72tAIdtj8KUWsqqihpqV7X61nWpiZxMKzixk2IIG6VhedngDtXd4I+fut9bErhNxUB1vrOyKUfn938RhNB2E0yKsIxdAOG5AQN0flsJgOGyIKD3tlp9i496LREa17lWc2uyxXNeQdbl/Mau2B9bv4/ayxfRZ60hWGdXyd6E1oK3xF4kcWbbz6aC4qSdIBIcQ+IcRwSZJ2AOXA1tC/HwK/C/2/JnTIK8BzQojlyMn2IuATSZICQogOIcRE4GPgSuTalj5Fh8fLDVOLuf/tnaqBWDyjhAfW7YrYz+0Lku6wsPjVLSwoL6LDHWB1hXbu4vY1m7nslDwCwaC6mpAkaOhwxxi1eEnyzCQrNotBc+bvDFXOu32yPMp9s8Zy72vbDnu+nBQ788sL+c6wDHYcaFfvV3n/gfW7Iqr0bWYDdrORFEdkPmhScSaL1myOOfaRK8bzm5c2q+OMfi5LZpbyhze3q82s5k8p4qPdjeSnO1i05mPcPm2q9MLVX7Jq3sSYlcOeQ52aDqIsP51hAxIYNkAOSe1t6oz5fBeUF5GX7iArWbsXTWaSTZMZ9dSPTon4PJVQZvmITFVKP14v+5omJ6WDk4/8hewhdEFJHV8XehPaGtbH1/4F8LcQY6sK+DHySme1EOJqoAaYHbr2FiHEamRH4weuDTG2AH5GN/33dfo40Q5gM5lIsBoj6khsZgMWU+TszmY24LDKM9jcNAcI1La64V0RlVm9EhqymYwRiXYl56EYJ6XtbrQxa+jw4A9KmjN/u6X7o3X7guxq6GDuxHze2FzPgqnFakJcYaIZBbR1eSnKTGLvoU4GJFrjzuaV68+fUsTv3tjGzdNGRjgFu1k7VNTq8qmsLyUvNG9yAeNyU8lItDD/+S+obupS91dm6eFKxUFJ2wnWhzHhlHuyW4wxK4Sll4zh9IJuyXjFyN756lauO6uQgYlWHFYT9a0uSgYnR6xclHM8dPnJSBK8u7OBHQfa1fyS2xfkpn9uZOHZwyP0vZbPGRfRjyVe/mJMbmqfhp70OhIdXxd65EhCSe9rkem3ErJBf1iSpIbDHngYSJL0JVCm8VZ5nP3vAe7R2F6BXIvSbzAaBHf/a1vMD//RH0zgZ3+NrCSva3VhMxvwBeTwh1LQF68r4sAkK1aTgSd+WMaXNa10+YK8UFHDI1eMZ3NdO8MGJPDoO5WatQ7tXT7u0ui38cgV46lpcpKdIidWlfqT/W1dzJqQiyRJLL1kDBaTgd+9vk1dAdx70Wi6vD6W/Gsb10wqiBt6um5KIQkWI4GgxIyxOdjMBt7YXK8mtE8JoxyHH5tkNXH/nHFsC6MD281Ggki4vAHViYQ7g0SLMYYIoHXu7BQb+Rn2mNzDH2aP5W/XfIfGDg/ZKTZKslMwmQwRRjYzycai6aNixCIV6u85I7NYNW8i9W1uctPsVDd18b0H34sJXykKBDmptrh6YX6/3IwsmkkW7eCOFXodiY6vE+JItXshPa3nkGf9nyEnuMcjh56uiNbf+jagrKxMqqio6PH+b26pZ96zn8dsf3zuBDKTrRxoc5OdamN/q5vfvr6Na797EkMGJHDzixu56vRhNLm8MXIh0J34HZmdxI0vxL6nrICeeK8qYvVgEGA3G3F6AzHOCWDh2cU88m4lN0wtxm42cO/r29XVzrVnFWkyyRTJdiVPoqWTde9Fo3nu473UtXpi3rthajECifwBCXj8QepauiLo0jeeM5zMJAu/fjGSMbbqkxp2NnSyat5pXLryQ9IcFs0WvgoRQKumZvmccZwzMosPqppUxlf4c1w4tYg2d0AVWfzO0HTe3tEQY2RHZSdxoD3S+Ecb5OjQWvjn+PA7cn7pNQ1yQDAosa/Fycd7Wrh9zWbSHBZml+Vy0sBESrKTe1yM2VNUNXaqSsvh49Qamw4dPYUQ4jNJkmIWAD1ZkfwBuFCSpC/Ctq0RQryE3L/9O300xuMWCRqNpmxmA3aLkbFD0hg7RDYUyTYny2ePo7rZxaZ9rVxalsefP9jD9DE51Le6uOei0fwmKhG7qqKGU4eVaoZr8tIdPP9JtZqQVwyVYlgvmZCrOS5PqK/6/W/vZN7kbnbU9DE5qhNRrhGe91CYSiCHnt7YXM/vZ41FIJFsN1PV0MnPzyyitsWlOiflPPe/vZNfnzscA4Jf/2MjaQ6LmrsxCMhLdzA/qhZmydqtqraXLxBQixe1WvgqDq7F5aUoK5F//WISjZ2RRt9kEDHPMc1hIcFmZvnb3Y7ntxeN5o/rIvM/C1d/yWvzJzGxYEDE8dGFffFCa4p2mBYzSnFGwaCkPv/6NrdKbFg1b+IRe9H3NkSl15Ho+DrRE0eSHOVEADk0JYQ4nMT8CYMEqylGF2rxjBISrfLjC5+1KjUUOSl2WlxeLjslD6c3QJs7QEV1HQ9dPp6Nta1qMeN1ZxVhMxvJz7CroR2QjVKry8ulp+Tz0DsyQysn1Y7dbMQbCNDi8mpKyEdrYQXDFpzx5DyURL3CVAI5vDStNFvNTyjnvnPtFn4xpUiz7iQ9wUpHqNWuQmdWsOKycYc1wCl2CwOTrOr26P1yU+0smz2G/AwHkgTVzU7y0xMiVg6BoBTjWGeX5araZ8qKbm+Tk8tOyWPpGzvUew3vR2IywoE2D06vn0RrbI2NlvOeVDiAi0/OIS/NEWP0FWd054wSzXs70OZmbBgnMZoJtrW+I6JhWk+k6/U6Eh1fJ3riSIQQIk3RvArbmI6cHD/hISHx4mc1/H7WWLq8fhwWE09/UMVvvjeKYFBiU51cR5HmsJBsN7Ni3S41dJGX7iDY7uad7Qe5/uzhdHb5KRmcQofbFxEjv+uCUh5+d1cEYykYlFT2k9EgONAuJ+ivn1oUUTdy3VmFZCZZqdXQwhqRJec0XvysVt0WbVykkHDhwrOLsRrlyvSLx+dqUlSvPqOA217erK4Qws9TdagzojYm/D2zUcSl2C4oL6Khw83He5pxmI2a+9ksJixGwa6DnWpeKDzuv7fJqdm1sWBAoma4bNH0UWoOKfo9RfpF+SwWnl3MX/67Vx6LSVYP3tfsUtWcl88ZxylDZXa8Vl4izWHG7QviiKOmPCglttNmeChtzZd1MbmfpZeMYcaYwXFXJnodiY6vEz3JkcwDfoJc2a4kCiYAS4E/S5L0p34dYT+gtzmSd7YfYFt9ZwyFd9TgJAzCQH1bF/taushwmGnp8uGwGEmymSPqQ5bMLKXL6+fe17dz9RkFKtNKgc1sYOXcMiqqmwkE4eOqRn78fwVc+5y8GHzw+yerORat/MUt00bg9gdjKKzhMvLrtx9gdlleBCNs0fRRJFqM7D7k5IUK2dlcPD6XvHQ7N724KeZZXDelkIfWV7LisnExnQef/aiaH56eTzCIKv2i5AGanR4MCH77xvYYwsAzH8p1Fg6LEbvJGNGRUnl2D72zi+ljcjSf279+MYnqZidXPVWhri6GDXCQlWTD6fWztb5dM68xb3IBgSCa54ymOS+cKtcHReeMxuelqkn5eHkJJf9TnJnI90/N58613c//7gtLuXBsjrq6iD7HdVMKkSTtMR4p36GsbPQ6Eh19haPOkUiStFIIsR9YQiRr625Jkl7t85Eeh7CZTZqzc6V1bZrDwo9PzyfRZmbpv3dw9RkF/PHtyP0Xrdms5ivihZgOtrvJSbWTk2pnZHYSEt0rCFcoZARESKqMGJRIfWsXHR65buTJH5bh9AbYXNcWUan+wPpdLJs1FiGCrJw7gRanD4vJQGOHG7dPRORGHn6nkusO047XZjZgNRo06yVc3gAvVMght2R7pDNdeHYxKy47mS372wgE4aH1lWqSPxCEnFQHv/rHVzH5lRS7meqmrsN2Ldx1sAOb2UB9m5v3djaQk5rHT56tIM1h4ZfnFGsel5NiV/+Ofk+IyNclOSlc/XRFxGd660ubeG3+JNU4x8tLKPmfhau/5O+fVLNs1lgkIC/NTsnglIgQldY54tX9HCnfodeR6Pi60CP6ryRJa4G1h9tHCHGLJEm/7ZNRHWfocPs1f8gdbj/XnVVIVrINu9moVpjHM3jh+QotI72vxcUD6ypV0cYuX4D754zjd29s45DTE3FMfZubJ9+vYskFJaQnWiPCZHfMKIloWKVc/2C7myS7mV++EElZfvQ/VbS4vGr3wk5PgI92N8ZU3SvkgPlTinjk3UrOG50dsXK4YWoxg1NlhWBZvyrSmS5/ayfPXHUq+RkJEaSDuy8czYPrd2I1DYlRWX6hohbTqYbDPredBzt4oaKWW6aNwOULMCTNwa6GDjW30ebyaR5X09IVt8FWtDy+QmCI/kzDFaDj5SXSE6yMz0vvUZV59Dle/KyW22eM6lG+Izopn5fmOKIApg4dfYHeVLYfCbOBE9KRpCWYNX/IqQ6zql47v7ww5n2tfABoV3XfPG0EkiSxbPYY0hwW7lq7heqmLvIz7Nw+vQR/MBhRe5CfYeeOGSWYjQaueSZypnxHqLJeSSYr1y/OSuInz0buu2JdN2tLYVE9+X4Vi6eX8M6OepbPGUdNs4uR2UlUHuzkl+eMYH+ri8nDM3l9Uz33zRrLroYOCjOTeOaDKm49fxR/mjuBNpd2n/uD7W4eWCdLyQxJcyAEdHn93HLeSGqanJoqy8bDPLe7LyzlD2/ulM/vD8YQD97YXI/JIGJICUrew2ISLJlZquaibGa5Z/1jG7rDWsvnjCM/XVtGxReQCAYlDAZx2LxET1cHQzMSImTqW1xeOlzeGLKHUhT54e5DqtNQ9NSU70d0Z0i9jkRHf6EvHckJ++0MBILcdUEJt4flFu66oIQWZ3dP8/BOe1oG766ZpbhDQoFKz/U/XjqOnQc78QeDpCWY+dfGOoqyUqkxuLh52khWf1rDKcMyuDbUICs/w87yOeOob+3CZjHys799HpcJlJ/hUMejGFVFbTh6X2X27/YFSbIZufqMAurbu7h6UiH3vbGNiuo2bj5vOJJEBItrQXkR9a0ubCYjz3xQxRUTh/Lxnmae/7SGG88ZoWl4Gzs8eP0SBiHUFZziEMqGpnP5Ex/HOLoHLztZld0PShKPzy3D5fNT1ehkxKAktcWvlqSLUhkfHS47/aQMxuSmkJlko6G9S31PkuDvn1QzfUwOo7KTGDEomWED5AR1uIFXnumiNZv48w9PRQg5LDU8K4k3FkyKqUfpKQwGwfdKs0lzWNR82cP/2c2i6aNYe90Z7GtxkWwzU9caWRQZrqcGMtU7ujOk3o9ER3+hLx1Jn3YlPJ5gM5tYXRHL2rrq/wrUfcKdh+IoHrliPF5/kK317bh9fpzeAPfNGovJIGjscFPZ0Ik3IP/Ql7+1kyUzR0dIqN994WiaO90RfdsXrv4yQjYkNUHuj66EzV78TGYSJVpNEcbx2Y+queaMYdqMqFCMPj/DTpLNrOZ3Vm6oYsnMUs4Z5cFgECx7M9JQP/9pDUsvGUOL08cvzxlOhzvA85/WcGlZHsve3K6pX5XmsPDz757EPa9vizjXbS9vZtmssZqOrrbFxbzJJ7Fyw26mj8nh0+pmxuWmcsrQNIoHJqn1J1rHdnm16cinFWRw2kkDCAYlaltcMcnsnQ2dPP3jUzkps9vohisah6s5bzvQrhaU9mbm7/cH2VLfFiq0tFOSnYzJZMBkMnBG4QBy0+w0dLi5ZHxOxIojmqzh9sl6auEEgXjhVb2OREd/QF+R9ADtbi/TSgdHzMZvPGc4zSHdKEB1HstmjcUXDNLZ5ae22YXNbOSBdXLyWlEBXnHpWDo9gYimTvOnFNHq8kQZ103Mm1zA3In5am3IxeNzMRsE980aS11LFyaDYM2XdSpVdUF5EQkWI3aLMcLYZKfYGDrAERPiUeTobWYDt50/il9EFQ0qJIGCAYkR57riO3lkJdv4cHeTSoO9ffooLjslTz1/UJIiEvLhnQK1jFw4uUCBzWzgpMwkFq3ZFEOBXTR9FK1dPs4ZmUVOql2TmZWbZtc8p8cfVHMKbn9Q87kkWCMbl2UkWDXZUzsPdvR65u/3B3n5q7qI0FM4g0sJlYG80ulw+1n6xrbD5uCMUWR8vY5Ex9eFvnQkL/ThuY4rOCwmlr25I8JYLHtzB89edWpE+Gje5JMwmwysXL+ba0PdCYUQLCgv5J3tDeqKJTXBwk3/jOw5sqqiht9dPIbrphQC3Sq+OSl26tq6uOOCEvYecvLcJ9UkWIwxVORwIcjHfjCBpa9v45ZpI/D4A2SnOgDwBSRe31QfMat+5sNqFp5dzBNXlnEgDusoKKEq6WrVZCjXv2vt1ohVRTwJlwSLdq1IbYuLxdNLIuixd8woodPjU7tJhj+zJaEukcMyEhmdkxKRn8jPsLNoegktTh8PXz5ezTkp4138ymb+8qNTOdjupqqxE4c5UpTTYTbi9gXU8QWDEgZBjAjkvReN5r5/74i4v57M/LfUt8WEnm57eTNFmYmMHZKmqZV1y7QRdHj85Gdo52vKwvrJv/pVXYyel15HoqO/0Jt+JMOQFXuHhh8nSdIFof/v7evBHS841OnVNLDNTm+EUX7p8338ZHIhP/y/oVQ1dsbMcF/fVM+8yQUxMuLZKTYuLcvjx099GjHbdrp9pCVaaOz00Ory4vL6mT1hSNxCQUXmZHNdG3WtcjgqIKHWn4QnmcOLFhOtJqxmA7Y4xYCSBKs/q2XJzFKZWXaY6xsNkYWHWudLsBpjjNz8KXLNi8Uk+NPcCRxoc1PX2kVQCtLi9MalwAYl2HZAFrdU+m80Oz3Utbq5LpRbUp5nh9tHhzugOt2GDpnN1OUN8PdPapg+JgchIBCEP3+wh7/86FQgskiwODOxm76b7iDVYVIVjcPv8Ugz/yanR1P+X6lyj5ZmKc5MxGQy8NAblaQ5LDErqOVzxnF6QQavzZ/EwXY3DouRoCSxat5EXN6AztrS0a/ozYrkZeBJ4FUgePhdTyw44sygw8NH+Rl2Fp5djM8fpLrJFdMzY8W6Xfxp7gQ+q26JmZFrVZEvWSvLmu9u6Izsa37x6MMmzG1mA/kZCdxxQQk+f5B7XovMRSx/a2dEA6slM0vxBfzsPeTnoXd2afYIaXJ6sJgEKXYzCZakuNe3mQ3sbXKqMvhaEi73XDSa3Q2dPPKf3dw3ayw7QrIk4RX5m2rb6PIFVW2xp686hUGpNs1ckEHAzoMdjAoJHxYMTESS4AdPfhLzPKOLDDOTZLbT6YUZjBuSSmOHh8ZOD6sr9nHTtJHq7F0x6kof+nCSwPI543jo8pNjlIO1Zv7hOZFku5mPqxqpqG4LrZ5GUdUoy/cHg1JEPUl2io2fnlmoOpb6NjfPfChL8I8clExxVpJKCJAkaOr08lFDR0Tl/XeG9Z2ysA4d0eiNI3FLkvRAv43kOEai1cTCs4tZ/lZ34njh2cUkWk0smzUWly9AcWYCTU4fhzo9cYX9Wp0+HlhXyYpLx3L79FGq1Ee82fbARCuLX43sJb73kPOwhYKLpo+ixeUh0WrCF5A0z6s0sDp1WDp7GzvJTE7g/z0r15YohY5GAxRnJrGvxcWKdbtYPKOEA21dNDm9canN4auKP//wFD6oaiLBYmT57LF0uP04rCYGp1i5ImTkdxzs0OweWTAwkSVrt6rjbXH6qG3piuh+qOSCJAke21DF6JwU8tIcGAyCbfXaiXe72aBeY8nMUgYn2Xh3VwO7DkauHpdeMoZzRmbFFBpqOfyFq7/kX7+YFFc2XoFWTmTx9BKSrPWcMixDU4lYCSXecv5IOtw+rplUoK5cFNHH+eWFDB8kS95Fh8KUkKPO1tLR3+iNI1khhFgMvAl4lI2SJH0e/5ATA0JIZCVbI2LoWclWhJC4MUQtvW5KIUvWbuWaSQUY4xS5pYbqUWpbuyjKSlLPV5SprU+lNMkKx+qK2ggnpDiPjAQ53PHQ+kp+fHo+Tk8Aty+gvZKymghK4A/IfUDCaz7C2U3LZo3hmQ/lPu13vrqF684qZHVFbUyh4t0XjibJZsIA/Oy7BTR0ehFCIjPRgtFoYOELkTRfhYUWr0vioU43l0zIVVcdDosxJke1Yt0unvrxKdz7r220uLxUNnRiMgi5kDDO8y/NSeGxH4xnzyEnD72zi9w0Oxtr22JWjze9uJFByTYGJlkZmpFAdopN7QWv7DcmJ5lrJp9El8dPk9PD+CFpvc6J3Ll2C3+aO0F14oq8y/YD7eSk2vnzjyaw51BXjHBmuOx/UWYSzU755xjdITI85KiztXT0J3rjSEYDc4EpdIe2pNDrExqdniA3vbgpxjCtnDsBty/IFd/JUw3rhh0NzJ9apGFsSznY3sWdF5TwyLuV/PrcEWpnRK2Y9/wp3U2ywq/b4vKSkSg7NZPBwNABCexvddHQ7sZmNspU0jCpkWhDvXhGSUQ72xvPGc6Bti5Nw3ug3R3Rn93tlwvk2rt8oSR3Ail2M3eGJbIXzyhhS20rCRYjXb5AjJFWaL7bD3aQaDViMgjuvrCUnFQ7XT4/Hr9Ek9ODUchOSZJg6/6OGIfq9gX5YHcT543OZrbVRDAo8bO/ddfbROdgFpQXccs/N6m6Y16/xL5mFyaDdjfH9yoP8cR7VTx0+cl4fBIrN1Spzb4UzaxwA79kZikXjcuJq8ir1cERwOUJqNvDSQwrN1Rxz0WjWblhtzq+NIcFtz/A9eVF7G/rIt1hYdmb21l49nAktFe1STYj88sLcXkDVDV26nkSHf2C3jiSi4ACSZK8R9zzBIPHp91ju9npZUxOMqMGJ3PNpALsZgOJFhPXPfcFaQ4L8yYXUDgwkSSbiRSHmf0tbryBIPdeOBoJWFVRE5FwXVBexMAkKw6LiZe/qOHCcUNYeskYjAbByv/sZmdDJ/OnFLHnUCcvVNQyd2KkMVMUbV1hUu5KqEoIOHVoGovWbI5oZ7vszR3ceE6x2islXLVYkTFXZr/JViP3zxnHroZOghJkpVi56qnISvk7X+2eZV8zqUDzue1s6ODFz2q58rR8tTZFcZ6rKuQ6lJe/rOOyU/Ioykqk8qB27/VAEFas28XjV5Zx28vdjr66qYvmTjmZPWyAA5vJSG2rS13lKLpjZpMhriKvFApPhq9YlBVUXrpDzZMo97RozWYKBiRwcl6apqHOTrGTn2FXG50FJbm9cUCS1GLL6LDZb17apK4otIQ6b5hajNcvcdOLG1k1b2LMfUTXBenV7Tr6C72Rgf8KSO2ncRzXSEuwhLoLFnLdFPlffoadNIeZS0/N4+d/+5yH1lfy4PrKUL4kkYvH5xKUYHdjJ6l2M7sbnNz4j69YuPorbn15E13eAL+YUoTJICeOV6zbRbLdzB/e3MkLn9ZQPjKbhS98xYLnv+TGF77iion5/GnueFZV1NDpCTC7TDtBf/H4XFWXC7pDVU+8V0VQIqLniXJcVrKdAQlmnr7qVG6YWsTKDVXc+MJGHlxfydyJ+eRn2Pn9rDFkJNm4YfWXLH9rJ0+8V8X+VrlYMvp8HV3d2mTKOBTYzHK73lvPHxmjxfXA+l2qQZ0+JocV63bh90sMTrOzZGapei7F6fzz81rcviCf7m3m0rI8VRYeoN0TYO3GOjz+IDf+4yt+9/oOnnivirkT80lzWNjZ0EGry4vFJJ9L69wQ2chKccz+oHbuaX+bW21gpSAYlKhq7CQoyRI3rtAq7aH1lfxpQxX7ml3ce9HouHkypTZEKz9z/9s7uXh8Lm5fEJdXFoYMv487LihVV8XKMQtXf8neJme8r7oOHUeF3qxIsoDtQohPicyRXNDnozrO4PH5+enkwoj6hsXTS7BbjDE/1Oc/rWHe5JMiwlpD0h089I5sBM4qHsAPThvKtvp28jMSSLDIVNi6FhdmI9xy/khMAnYc7BYddPuCLH5lCysuHcei743CYjLQ1uWPSL4q1xcCVlfs444ZJdzxaqRc+fYD7Zqz7xanB6PBRofbo8rAKOdTVI79gSA/CcXyQQ6z1DS7+OU5xextcqnjsJkNao5CKweyeLocWpsxNkfTcCrFdsr/3mCQ/S1dJFqNqq5XIEhEnsBiNETkA0DuB794Rgk/D4W7wu9nQXkRnZ4Ai1/Zwn2zxqorw7x0O3VRPV2MAnXFEM6M03qO6Qlmrn66Qk1sR9eCPPXjU2Kc54p1u3j0ivGcVpChWVA5YlAyNrMhbhFiXrqdBeWFZKfY+M6wjAhhSL1Loo6vC71xJIv7bRTHOUwGo+pEoDtR+viVZTE/1OljcmKcy20vb2ZBeRFmo2Bgko2Nta0qNXP+lCLuWruFm6eNoMMTiJtYdfuC+EK00EPO7tDITycX8NiGKtWojshKQhqTw78316vdGANBaO708PdPamIM+z0XleL1Syxc/WXcUNSHVU3kpTvU97TCLOFhqZX/2a3mfJ79SKapnjQwkcEpNm78x1fqquhw7DPl/x0HOnny/SruuUjOMeWlO9jX7FL3X1BehMNsJM1hUWfvNrOBn04upPJgp+b9DBuQQGO7h2smFWA2Cq46fRi/fWM7aQ4LV56Wr9aF2MwGirIS+dl3CyOc8u9njVEpzuG5J7NJcM2kAho7PRGdEZUxdHq0VaSd3gB3vLolRsvr7gtL+fP7u0PtArQJGTXNXTz5fhXDByWTl54QIwypdYxe3a6jr9FjRyJJ0n+EEPlAkSRJbwshHIDxSMedCGjs9GgbAI8/5oeqFaIozkykKCuJjbWttHZ18upXdfx0cgEdHj9BSeKumaUYheCG1ZFx9/BZts1sINVuZl+zK4YGqyjmyiESgckApxZkqAV5IBv/K0/L5/lPa1R679jcVPYc6ozQ0NIyPBajTENV3ovXPfH3s8by29e2Ud/mprHTyyOXj8flC7DzYAe/e307V3wnT3UiWquVcJl65f9nP6omzWGhod3D85/WqO1mlVWcIoE/b3IB5SMyOa0gA4fFiEFAly+o1p4oK6b8DDtNTq+q9aXkGhaUF5Gb5mBwipUHLzuZTaGeKfuau2JWEb/+x0b+/KMyls0ai9PrJ8FiwmSEX72wkeqmLp54r4rlc8YxMMmiyuJbTQYyk6yaz3dAogWvXyIn1RZBI85LczA+L42GDjeDkm0xysLK81FCVuErIUVO/vG5Zdy2ZpNKhtCr23X0B3pT2f4TYB6QDpwE5ACPAeVHe3EhhBGoAOokSZoeat+7Crl6fi8wR2nxK4S4BbgaCADzJUn6d2j7BOApwA68BiyQjtT2sZfISo5nAKwx9SUnD0mN2Dc7xcalp+ZFVFnfMLUYIehxoaHNLKsHS0iaoZFHrhjP/XPG8eT7u/lOwUDsZgNjh6Twh9ljEQJqml10egK8vqmem84dwdYDHViMBvxBifZQr5XsFBsJFqNmDxIh4K61W1TDHy/MsvNghxoSanF5+bK2lfwMBxajgUsm5HLSwAS1N72Sb5g3uYD8dAeZSTb2NDn55TkjkKQg08fkqKuxa88qZN22AzEhwyUzSxmYKIf/irOSGJ2TqvZvf2PLgYg+57dPH8WT7+/mqjNOiqHJ3v/2TpbNGovVbABEhN7YdVMKNe+1qdPHgEQzwU6JZLsphsSwcPWX/OOnp0XI4ivS/+GrmxumFrNxXytXnpbPgEQrQwdErijCVxh56QmMmD+JnQc72FTXHhGCU0JWQzMSYupJll4yhpxUG+kJVp21paNf0Jtk+7XA/wHtAJIk7QIyj/H6C4BtYa9vBtZJklQErAu9RggxCrgMuUPjNOCRkBMCeBTZwRWF/k07xjHFwGyUZ/7hiUxZ7FAiEJSFCa+bUsjVZxTQ6vJE7Du7LDcm1HX/2zs55PRGbFMKDcNhMxs4dWgaf5wzDrNRUN+qHfN2egL87o1tTBkxiCffr2LZmzu56qkKqptcLH1jO8GgnDM4b3Q2B9vdbNjRwIjsJAKBIGX5aeRn2Jk7UV6ttHf5WDZrLI9cMZ5nrjqFVRU1OL0Bqpu6VAbY8FBf9uixGsJyCPOnFPHu9gYa2j288Nk+JAm2Hehg8fQSyvJTANnZ2ExGlr25k588W8GhTg/z//4FVY1Onny/SjWSSTYjV51xUsxzXLRmM9efXczN04YzNN2hjmXPISdL39jGpWV5PPl+FQ+sq+SG1V9y6Sn51DS5NJ+hy+vn9jVb+M+uxpj3te61tsXFh1XNtDq9NHZ4NEkMzqjmXtVNXTz6n0p+P2us+n157pNq2tzyfu1dPj7cfUhOzgdj50JKT5PirKSI56OMaWCiLSac5vbJdTHpCVYKBibqTkRHv6A3ORKPJEleEco4CiFMHIN0vBAiF/gecA+wMLR5JnBm6O+ngXeBm0Lbn5ckyQPsEUJUAqcKIfYCyZIkfRg65zPAhcDrRzsuLdS1dvFJVRN/CrWoTU8w85f39zAk3UG6QxZgVJCdYuOmacOZN7mAIWkOgpI2wyfaTqyuqOWuC0q5/ZXu2oe7LiilvsVFTauHJ9+v4hdx2t8m2Uya9FElNKb8v2LdLh65fDzzvlugVnOnOSzcPn0UvwsZ3mg5k4VnF1PVKDs5hQGWnWLTlD7JTbVFtN69eHyuKisfmZcZzXmlXppdvohZ9ajsZJZeMppUh4VfnTuc+/4tFyHmpjriysR/XtPKE+9VYTYZ6PIHCAThUIdH83ksWrOZZbPHahd/WmT1giSbSV01gRwSi151KnkZi9HAva9v5/G5ZZrndHpjcyLVTV1UNnTw0PpKlbLd4faR5rDw9vYGVbomnKYbHqpyWEwEpWBMPmVBeRF7mjpJsMQWseoJdh39jd44kv8IIW4F7EKIs4GfI+tuHS3+CPwaSArbliVJUj2AJEn1QghlxZMDfBS2X21omy/0d/T2GAgh5iGvXMjLy+vVQHNS7ZxTmq1WICvJ1SGpdtbvaMBmNkS0iDWEhP8sRoHBoK3TFT4xzE6xMbssF5tFLnLscPsRwJ//W8WC8uHUtcs5mr9+VBPT4+PuC0tp7/KSn27XNCDRLKgva1spzkxSnUB9m5tdDZ1x6xh+fe5wRg1O4a6Zpdwe6iLY4vIyKORMnN4ACRYjmYkW9rV0YRSywGN9mxshiHveZbPGsuRf3YtRm9nA1vp21ZDec1Epvz53OEk2M0ajiGgcFn6MUu9x3793cP+ccdwQIg3Eo9OajXIRplIprzDJ7gsr0rxjRgntXV7aPQGMAkbnJGvK4a+cW0aaw0J1U2eEanF+hp3FM0pwWLRrVE7JT2fZ7DHUNLt4aH0lLS6vKuevjHPpG9vITLIiIbG/1R3TUGv99gNqTY/HH1THtGreaeo1leJHowHsZpPayVGHjr5GbxzJzcg5ik3A/wNekyTp8aO5qBBiOtAgSdJnQogze3KIxjbpMNtjN0rSSmAlQFlZWa9WUi5fQG1zCt2Fd3/50Sm8s72BBy87mTa3j+ZOD3azCbPRyMlDUnD7g9z379gGT4tnlJDmMDG/vBCTQWYG/e71baohW3h2MVajgbpWDzsPdjA2N1VdETz1wV41Wf6dYRnc+pKc4F1Qrr1aiWZBBYLgjGIPeQNBUkKdEaPVaFPsZrz+IEPSbPxxzjh2NnQyfFASVY2dOL0BuQjTalKpwcrs+JkPqzEKkOLkUwKSpI43/Bjl/d+8tFkOFXb5mFiQwatf1Wkm55U+LW5fkG2hVcuLn8kyMlrPY2NtG//8vJY/zB7LtgMdFGclqZX+ynnueHUL8yYXqKuGwsxEHlgXK4e/sbaV2WW5JDus/OHN7Vx9RgFJNiNJNjM//9vnmooFC8qLqGzo4KkP9zJ9TA6XTMgF4PlPa5g9YQjQrQb9gyc/1mxipawwbwg1uQpv2OULyPUkSmgvvFJeL0bU0V/ojSP5hSRJKwDVeQghFoS29Rb/B1wghDgfsAHJQoi/AgeFENmh1Ug20BDavxYYEnZ8LrA/tD1XY3ufoimOjHyLy8u00mx+8fwXKnU0nA20oLyIFJuZoQMSVIZPY4eHv39czfSxgyPYV+FUX0Whd3ZZLpnJNv69uY67LxzNbS9vor7NzZPvV3H3haNVJwJyaExLZmVVRY0qSf/w5eN59N1djPy/gggju2FHA1eePpTlb2+OOba62aWuEhaUFzEoyUJTpyfGOIbXvKxYt4s/zB5LqkN2QvGYYI9cPp62Lh9mo4F7QmwvQJ1J56XbGZxiJygF+el3C3nsP5VcfUYB+el2aqPqPRQnCXLh4KPvVsYQB+6aWcrD7+wC5HzDE+/Jsida+Q0l9Oj2Bals0K6sz89IINlmoqqxE69fPmDYgES27G/jmkly90yldcCo7GQkCRra3Xj8AS4/NT9icnHD1GKk0Bzoiu90O4B4xIbwlWb4mNITrIzPSycn1calKz+KcEC6eKOO/kJvHMkPgWin8SONbUeEJEm3ALcAhFYkN0qS9AMhxH2h6/wu9P+a0CGvAM8JIZYDg5GT6p9IkhQQQnQIISYCHwNXAg/2djxHQjza5sBEKwtDlN2Lx+fGMKqU4sQFz38RYaDPKRmkxtyVfaN7igQlKBiQwLI3t6tMn/DeJ82d7ggDqEiLP3rFeLbsbycvI4H2Lq96bHjYJsFqiHA6Z47IjBEUfGD9Lu6fM467wlR4V6yTpUWi5UFWrIssBpQTzX4CEry/8wCP/mACX9S0EJTkpP91ZxXR1OnmpMxEfv7cJq6ZVKDWbmjVqNx1QQm5qVZmjsvBZDCQnmBBCBFR73H79FH8acNu9XlsrGunbcNuVs6dQKfHT7LNjMcf4KZpI0i2mfjNy5uZP6UIj19b2DLV3v3TkPNXJWqxpuI8731NFoy896LR3HhuMQ+s28XgVJvmBOGumSVsrmvj5S/lScFPnomUlrn/7Z08c9WpLPreSAoGJqiOWRlPdKiqLD+NW88bztABiVw3pVAOweXKCsh7m5yqUw+HnivR0V84oiMRQnwfuBwYJoR4JeytJKCpj8fzO2C1EOJqoAaYDSBJ0hYhxGpgK+AHrpUkSWlf9zO66b+v08eJdgCr0aAZopDoTqRrzRy1ihMfWL+LO2eUxJ1lQncOZWCSlRSbmS/2tVLd1BURwrhOI/He4vLyxb5WNQxz7VmF3P2vyH4kd4RCcgOTrKycO4EWpzeu4N/+1q6YVUI8eZDomfGgFDtuX4CJJ2Xys792h70WTR9Fss3IfrePQ52yNPqGHd3dI7VqVG5/ZQt/+XGZel/ZKTbmTRrGyrkTaHf7SbGbaevyRrT5tZkN/PS7hextcmIyGFSHr9CGv39qHoGgxIT81BiBx4VnF5ORaFV1xlpcXoYOdPDkD8s41OHFaJS1z5Rnc+tLckvkeJ/3vMkFZCRYKBiYwGWn5NHQoV2X1NDhwWQQ3PHqFq48LZ9nPqxW622UYs9wB7ugvIiGDreqknz3haX8t6qR//fs56rAZLSD1IsRdfQHerIi+QCoBwYAfwjb3gFsPNYBSJL0LjI7C0mSmohTlyJJ0j3IDK/o7RVA6bGO43A42CHP9qNb1J40MDHix9qT4kS3L0iCLb5QYDgraMXbO5g/tZhWl5cF5bKEu2K8Xv2qjiUzS1m0JpzlVcL9b+9SzxkvLLKv2UVNSxcPrt/FpWV5jMlN0RxPUZY8cw1fJcQzUOHU3wXlRWyvb6PNHYiJ7yvtcQHuXLtNnbW/sblelSlR9lecV5LNCJJg2ewxJFpNNHZ41IZdyvVe31TPeaOz+cPssRgNAqMQ3P3aVqaPyYkZw6I1m9Xcwz0XjcZmNkS0CLAaDfwxpGP15PtV3HreCL6obosIRc2fUkRjp1ed+Qel+M87L80hkwDOKKA4KxGLSZuAYRKCJpdX1RlTGpCtqqjhnotGc83TkasYZZ+Lx+fy8DuVqrKykieKzinpxYg6+gtHdCSSJFUD1cBp/T+c4xNJNjMtLm/EikCh3So/Vq1ugKWDtQ203WzgngtH85uXu3t/33PRaLVR1r4WFy9+Xsu00uyIQkbFYJ45IpO8dAdtLh8LpxaRlWJnf2sXzS5vRIhoeFZSTGW3zWygOiSrocx0CzNHxRidRdNH0eULhJL4RvW+tAyUwnK6bkohBiH3ZH/0P1VcMiFX07CGU5/dPrlf/S/PGUFlQwdD0mWVXK9fYu7EfHUmHt6GWCsnc/UZBSx9Q+6d/vDlJ3P9C1/2KMfwm9BqIjyZbjMbuPqMAkYOSmLZLNkx3XCYXh+KI43HLDvQLoch73ltG9edVcjY3BRNSrHT58dhMdIZkpbPSbGrz/RAnFCV4sCU106vH+gWmLz6jALG5CRTlJWkFyPq6Df0JLTVgTYTSgCSJEnJfT6q4wxuv1+TMdTl80fItJcMTuKJK8vY39pFos1EgtUQ04Rq8YwS2rp8qiEyGmBMbiqpdiMbdjVFhKWiQzzPf1rD/CnFEQ5o0fRRHGzrYtTgZBrbu9SE8qVleRG92hWncfmp+Tz1wd4IY5hoNarChVaTzFJa+kY3i2zJzO5mVOEGqjgrkVSHmafe38OonFSEgAn5afzh3zu48rR8SgYnaxrWEVly50XoZigpGmMrN8hJ8VSHmXv+tVWTPqyVkwkPrUWz0uKt/pRjo2t63D5ZdTfRZuKnf40vh6+oDtw+fRSJNhMHWrtiGHrRzLLsFBsSEiOzkzQpxctmyWwym9lATYvs8BeUF3Gw3R13JaiQDGxmAwmW7p+0Qsx4TU+w6+hn9GRFknSkfU50JFktEb1DJEnuJfLbi0arRXr5GXaGDXDQ0O4h3WFRDUTFniaVHlzT7KLV5VVn9+H9w/80dwLj81LVFcSQ1Ni6kOljclQnAt2hoqvPKOD/PfsZi6aP4qXPq/nlOSNUw6zsp/TgaOpUhZtVg2k2CX763ULuDCX0oyujF63ZHDFrVwyUEh5SjGWLy8vEYWXMmpCL0xtg0ZrNmob1vje3c/mp+WroKiYnErrepWV5cXMyeenybD28dzvISr25aQ71OYbnX7SMe3RNj7JtbG4qtc1O0hwWtZI/2ohPHJbO+LxU7gwjM/x+1hgevOxkdcUT3gelxeWlqdODQQgaOzyalGJvIMjajXUsmj6KRIuRZ686lYFJVqoOdbJ4RolKQ1dWMcrqT6kpcnl8qlqx0QAT8tLIS3PEXEeHjr5Eb1hb/7Po9Hj50enDWPrGdvVHfOt5IwhKksqYmViQzqa69piE/P8VD6S2xcXSf+8gzWHh+vIiTcO4qbaN7FS7yvjRqguJl3PJS7dzzaQCVm7YzfQxOew95IwokAQ5tFV1yMkj71ayfM5YqptcdPkCnJKfTn1rF0YhsWzW2LiGOzwfFG6Mw51UgtVEW5eHQ06veh9PfbCX5bPljojh8u/3v71TXZHFC9k8sH4X983SrkRXVG8XlBeRnWKj0+3jyR9OoNnp46qnP40Y5/rtB3j48vHsbuwkN83B0je2qWG+xTNKsJkNEfe2aPooHn13F5edms/PzzyJZW9uj3FGC8qLaHZ6ONDmxuuXVKdY2dBJ6eBk3L4gv/pHZOW5w2ykw+Pnlpc2xc01DUyyctkpeTy0vpLZZbmMHZIaWjEJOrq83HhOMSl2CwMSLexrduH0yr1pxg1J5dkP9tLk9MZoki29ZAzfK82O271Rh45jhe5IeoBEq4msZGuM2usf395JRXUbNrOBcUNSYyi9SjJ0XG4qaQ4Lcyfmsz9OW9u8jISIVYRWXYhSmBjPqM4PNcrKH5AYIRaoGLKCgYm4fUG2H+jAbjbyQkUtKzdUqbmXScWZjM7RDkc1dri5f844Otw+qpu7azgUA+r0+NnV0EHBwAQc5m6Zjvo2N1sPyJIg4VAcYMIROhTWt7o0pO9Hk2A28IsphTz/aQ2LvjcKX0DCZjayaM0XEZ/Bqooa7ppZSmOHh3a3n8ferVR7i0gStHV5CQSMPD63jE+rmwkE4aH1lSEF41386pwRzBibg4TEgvIiunwBCjOT+G2I+jtvcgE/nVyA2x+MWHlp5XGuO6sQbyAYN9c0f0oRt728iUvL8shJtTKpaACf17Ry60ubIs67/K2dWEyCm6eNpLWhk0AQdh7s4MM9zVx9RkEMc+ymFzeS5rBwRuEAPUeio1+gO5IewCAMVDe5YgzzTyYXUhGq6G6MQ+kMSuD0Brh+ahH7W7t4Z7t2qOVAa6SYoFIXsnz2WFzeADUtLla8vVOz6DB8ZfDElWV0uv2aKsH3hzroKS1qlTyD8vc/P68lM7Eg5hq/OX8kbV0+djV0Mm5ICg+/W6k6keiajwXlRYwbIpMMlFXRkFR7DOtMieebDCJGEVe5J5vZwKBUB60uDw9fPp6vQr1VHli3k0vL8lhdsY/LT83H6w+y/K2dzC6LTO4r+ZdwaZvwwk+b2cD9c8aRnmDhv7sPRYSalGNvjMozvVBRyyUTctX7L8pMQkCPamu8gSAT8tKwmWWVgjc21/OnuRM40CZraD2+YTfVTV08sF5WdH5v16GYnvcr1u3i6R+fCsD1q76MoGfPn1KE2x/bFjrNYaG9y8e7OxsYmpGgJ9119Dl0R9IDdHr8ah8PJVT0/Kc1LJ5eou7T2OmJmwytbZFl3I0G+NmZhawOO9fwrCSWvbmdm6eN1KwLSXGYWfhCt5Fq7JR1mfIzHASCUNfqUvd3++RaBKvJoOnUOty+iB4fIwYlcd2UQgASrUYuHp+rNnhSxpebYsViNql0W0VHaut+ucPjsje3xxi6x68s49bzRuD0BmKc7zMfVmMxCRZPL2FrfTtuf5CPdjfy2A8m0OGWnZWSb7nzghKe+aCK7xQM5N7Xtkfck0IUuP/tnaycO0FtbRz+DOP1TQnP7dy1divfPzWvx8cumzUWp8fPr84tJslq4lf/+CpuMj46jzOpaADb9rdz1wUlPPxuJdOi9NvCKcVf7muNaPMbfl4JiYGJNpWhB/LEY1VFDctnj4twPkofmnCHqEul6Ohr6I6kBwhIwZhisPlTivCF0X1WV+zj3otGx4QhkmwmAgFJbcq0u7GTayYXsL2+g3a3D6vJEKp12K2ZTK1pckY4sA07GpAkIgrswpPdFqPcAEvLqSXZzGqdyZWn5Uewuu6+sJSh6UY5nBQiEIzJSWbB1GKuDVGQlVm60r42eoYPsqFzewPkZSTw079+FuNknrhyAgfaPfz8uchzLH5ls6o19cuziznQ7uaRdyu56dwRdLj9EYZRyf0Mz0qSm151eBACttS2ql0hgxIkW42ahnjEoCSWzxnLC5/u4+LxuQwLKQiES6rEy93sbOiIkIxRetYfKY8zfFAiX9S0svytnaQ5LPzm/JExq5hwJ2cxyhIs4fRtkNsS+PxBGjvdLL14NEajLGnf5Q0wOjeFsbmpEcrAs8tiFRd0qRQdfQ3dkfQADrNZc3a64tKTAdlo/PzMQrw+PwvKi0h3WHBYTQxMNNPi8rOv2cm8ySepyfCP9zQzclAyr7+/n8GpdpJsRk4vHMhJmQ414W0yCl6s2MfUkkFqQZ0ym4xmVSnV03azkYxEM05vIIYtdceMEn4XSjLPLy+MMS63vbyZhy8fr9ZwXDw+l/8rTKc5VH0OYDMZ4s7wwxloHn+Qr+raNA1xe5dfU47l6jMKGJhoZV9rF/taXNjMRqqbuth6oEM9r5Jnig6lJdvMZDjMnFMSWXezZGZphCS8cp7tBzp48v0qFs8o4bH/VPLPzyWuPC2flz7fx/I549h+oJ2iTG2mlkK1VRzjgvIibCZDTAuA8JDjinW7ePaqU/nbx2FFrRAhg6Kc02iAxTNK8PkDEY7+hqnF2M0GnvzvHmwmY8yk5uUv6zgp1G/ke6XZpDksVFQ3k5OirQqtS6Xo6EvojqQHaOvSFm0MSEGum1KIJMEj71byq3NHcPNLWwB55rzw7GK1ivpvn8RKXCyaPopH3q1k7sR8SganUH2oK6JSXctpxOvLkZ/uwOnxs3D1RuaU5fLyl3VqXcjQAQm0uzz87uIxNDu9uH0BdYURzuza3dDBbeePorKxk+c/rSE/3R6hL7VkZqnmtZVe6fkZdm6aNhKX1x+XMhuIE64xGqCurSuiT0d+hh1JgrUb67jzghLqWrs0a0oeuXw8g1LsMUWDi9Zs5sHLTlY7HkYbeIXu/PA7lTzzYTWzy3JJsBiYMjyThg6PZrdIhTYMsiNItptZsnYraQ6L2pt+58HOmFVak9PL3IlDI+TrlVBfeN7ojMIBbKlrY2moF4ty/P1v71RlWOI581+/uJHSnBQKBiZyRuEActPscUOuulSKjr6E7kh6gDSHReXmK0b31a/qQCKCjZQcJn1y8fhc1SnE68uh1IAMTrVT1dgZs0rQchrxqqdTHBae/mAv9W1uVlfUxrC2Fs8oYV+Tk/vXVXLJhFzyM+yajq3LH1ATxYoTUcZT2+LSvHZhZhI3nyf3DlEcX36GnTsvKGFxmCO658LRmI1CPUe4COEp+enc9+/tEc/m0R9MwOPz838njeGpD3Zz4bghEcdZTQaGDUjAF+geYzjcviAuX4DH506gyx9EkuCOV7ZEGHjl86xvc/PAukpuPKeYksHJzA8pOity80ouC+RiUSFgRFaSGp5Sjl9QXhghyaI8I39AUp2Icu1wGRSlsLHT44t7L0FJ7hapJfev1K0oKw2lm+LQjISYXu+6VIqOvobuSHoAXyDATycXqo2LbGa5GZLH71f3sZkNtDi9cfuax4u5Gw2w/UAHQ9IcPXIar35Vxz0XjeY3YbmYG6YWs2TtFmZPGMKk4kyEgKAk8fiVE2ju9JGWYCYoSdzyz83Ut8kif3dfWKrmPpSxLFm7lT/NnUCaw0JeWmxIREsF966Zpfzhze1MH5PDH9+ObCv7yLuVLJs1loAk0djh5u+f7OWGs4ezoLxIs3Pioumj4JMaNtbJDtTjC9Dh9uP1BygfmU0QNB2gQnvWcnK7GzvZDdjNRpJskV93hWYc/rpgYCK7DnaojLNOtx+jgH9+to/bzh9Fm9vHvmYXqytqY1hi8Z7R/ClFVB1yan7+o7KTmV9eSCAIf9qwm8tOyeOUoWkR96I0PstLd5DmsHDX2i14/RKzy3JZeHYxTZ0eJBT5HSMf7j5EVrJNZWdNKxnEiPmTaOhwk5lk01lbOvocuiPpAUxGo+pEQDYAd67dotIwFSN4qNOrVsCHh3YO12hpfF4abl+ABg0JjI92N8YIM84vL8ZqEsybXIDJYKBgQAJBJH58+lCGDUzks2pZrv2d7QcZPiiZfS0uEm3JNHW6VZaPxSTo8sbSRBXjfeVp2vUuLS5vqOCtgNxUO+mJVpJtMllAy/FUN3Wx/WAHT7xXxSOXj+esEVkYDRKDUmz86pwRMcnmJWu3snzOOJas3UqLy8ueQ05GDErC6Qmwv7WDZJuZm6aN1MwRXXdWYVxq9CUTctXZ/+yyXHUFcPeFo3n+k73qZzF/ShFL39jGreePiljR5WfYufbMwpgQmYSk+YxSEywR8ifPflTNnLJczc/fH5AiaMcr1u1i5dwJ6r0UZyZy6al5ESG2W6aNiKlbuWNGCSsuG8f8579Qq+zD2VkFAxP1nIiOfoPuSHqAeLLfhzo96mxy5YbdXHX6MLUCPrw7niwpsjtGrnxBeRG3/HMTLS4vd11Qwm8vHs0t/9ykGq9Lxufx0Dvdmlxjc1Pp6PJw4wtb1MTzjf/4Sm2qFU4lvfvCUh57d5daMHn3haUsvWQ0BmHAajKwZX+bpmETCLWXu1a9y/Of1nDtmYWkOCw89u4uFp49giffr4pbqa0UFjZ2ePD4g7h94PMH8BLUfKbbD7QzuyyXwSl2DEj8LIwhdv+ccexu7NQ8zu2XHfayWXIVvWLAW1xedQxBCUZlJ6mf2YPrdzK/vIirzzDR3uXjkNOD1y8hSVJEmHH6mBx1haGE1dz+ACOzk7ll2gh+G6Z4sGj6KA60dpFgMUUY+rwMh6ZQo6I5Fn4vTk+AZz6sZkF5EUVZSSqBQHm/yeWNqS+549UtrLj0ZLXBltuns7N0fH3QHUkPEK+xVXqCJWI2+ecP9nDXzFJ1Ngrw+NwJfFrdQiAIz4Ta5I7MTmLnwY6IROvtr2zhyR+WqYawOCtJrXQPZ0Q9esV4NQejGPmLx+fG1Lk8uH4XN00bSV3rVurb3Nz28ma1snpUdjKjc1M06cbtHp/KJlLEGa0mA6cMTaPV5WPmuBzuf3uX7PxmlrK/1amGquJpWtnMBurautSVwJKZpTR2aIsQBoKQl2bnkf9UcsV38tWxpDksNHa4GZ+fFtdhtbi8GEOdD7XGYBByGDG8r0lDu4cV6yJ7kaTYTVwzSRaz9AckBiZa1b4pl4zPpcnlJSjB9vp2BiZZefbqU6lucpFgMXGo08O9r2+PSL5bjAZWf1rDmcMzI+TqM5OtPLCuW/ZfuZcBiRZaXF46PQE21rZqhjy1nOmW+jZVUl7Z1uyUtdUOtrsjwl06dPQlhBQeJP4fQVlZmVRRUdHj/XccaOWrfR0R9M67Lihl2/4W3tjaGFHXUN/qYu3Geq6ZfBJdHj8Dkyw4vYEI3aXlc8by8799EXOdR38wnkSLiZ88W8E1kwpiZEUAHr1ivNzbIuz9m88bTjCIZt7AG5DoCiWVJ+Sl8vA7u5gyYhAPrJdXHbPLcslLc3Cg3c3fPq5RZT+iZdXDOyOGJ8lLByfT6vRS2+ZmQKKFoRkJNHR4qGl28UKFXIi38Oxi/vLfvWo1+JWn5VMwMJFOjz8i16MoFM+eMISuUP6oKDOJxzfs5pLxubh8Ac3cinLcdWcVkWA1Ut3kYmCilZqW7jEsKC8iN81BXatcHPriZ7Vqv5FopzRvcgEvaBAWHrr8ZHYd7IwpskywGDEaDTjdPlLtZto9fgYkWqk65FSvr/RcmVScidEAxZlJrNywm2ml2RH3csPUYoYNSECSJLbUtxOUUB2j8uxKBidTEQphhrcHUCYSyvciP8POwrOHqzUlejGijmOFEOIzSZLKYrbrjuTI+KqmhWaXB6PBQLPTR3qCmUAwSJvLy/42OS+iqK2W5afR5PSqISpllhsISnT5AowclIzdbOSnf/ssxoA9cvl4fvPyZq48LR+3L8CfNsQauSeuLGPL/nZcXr/6/oPfP1mtOQjf9/ezxuL1BbgtLMeyZGYpD72zK6K2Ij/Dzi/PGcHOg3LNxqjsJJa+sV29p5GDkmnsdPOPilp+dmYhbn+AvYecrA4ZyRvPGY4vECQ3zcGvQqE2xbkahJzoXvrGDrJTbPzo9KFqyCc/w87t00vYVt9Ol09Wvb381HxsJkNMuMjjC/D7ECU23JFNLMhAINHhDnCgrYt7X98es893hqXjD0rcvmazmj+4ZdoIBiRZ2RaqU1EMMqBSuqOdzEPfPzkir6M85/tmjeVX//hKreU5aWAi85//ImY/pdjw3otGIyHxm5c2xzjzFz7bxxWn5vGdYRk0dHrY3dBJusNMk8tHTpqdTrc/oi1BePfEVRU1XHZKHkvf2IHNbGDl3DLmPVsRMw5dVl7H0SKeI9FDWz2APyix/UDsTPTUoencv+5LzRao4YJ9y9/aGdEE6eErTtZs3Vsd6rX9zIfV/Pj0fM0+4UYDvLW1nvKRg9Q6hz1xGEEH2roYmpHAfbPG4vL4OeT08NA7u5g+JkcNf0T3A7GZDdx7UakqK9+dcxnNj88YptZqhIeNlr25g9/PGovLK1egK5XxCuaXyzIsF4/PVZ0IyMn4a5/7nGWzxmIyCkYOSsJsMqg97pX7WLlhN9dPLVa3hZ9fmbHfet4IhmQ4uL68mJw0u7ryeKGilpwUOVSm0LczkyyYjUZ++YK2OoAUp9thdJ8TZXyu0PagpCTLyyIYV4pTnTgsndkT5DGs29bAH2bLisk7D7Tzh7d20uLyqon0Sx//SHW2P/1uoUrJju72+MD6Xfxp7gRuX7OZK76Tz+knZXByXiqZSTYOtut923V8PdBXJD3AezsbKco0U9Mc4GCHHGvOSzPS7oFWZ4CGDg+DUqyYjQK3T6LZ6SU9wUyC1USH209Tp5esZCtBghgwkGg1UnXIRXaKjaAk0dblI9lmpsXlI8lmwuP3k2g14/T4sVtMNLu8pDssdHn9JNrM+AJB2lw+7BYjDotR1tbyB2lx+chOttLpCajXtJkMVLd0kZVsRZIkWl0+MpOsOL0B2rvk0JsQQYJBAy0uHw6LEbvFCEgEghJev4Q3EMBhMeH2+XFYzDR1eshKtuHyBXB5AqQnmGl3+zAbDCRYTbh8PozCiNPjJ9lupq3LR4rdjNPrJ9lmVseRYjfT4ZHv3eMP4vT4SXVYaHH5GJRsxesPcrDdQ0aihRS7CZc3gMcfpMPtJ8lqwmEx0uH1YTeZaHJ6SbSaSLQYaXP7cFjkbcl2E2ajgQ63jwEJ8n03dXrJTLaGuhH6ae/yk55gptPjxxF63ml2C26fPJ5gUKLD48flDZBsN5FsM9Pp8eH2BXBYzDSHrp1sMxIIQofHT5cvwIAEK26/D4Mw0uH2kRr6DK1m+TNr7PCSZDPh9vuxm404zCaCkkSnN4DT48dhlj8Lm8lAu9tPu9tPmsOMyWCQr2kz4Q8GsJlMtLi8JFhMZCSa6XQHaOxUxmTC6fNhMhjx+P0IDAxMMmMymGh2ebAaDRxol4sWHRYjNpMRrz+IhKwfl2I3YTIYaHF5yUq2U5KdjMEg2NvkpMnpIdFqxOmRiScOi5FEq/w9SU2w4PNJtLl9SJKE3WKi1eUl2W7G7fNjNRmxmoy0urwk2uTvz6BkG0JAh9uPPyDh9QdJSzDLq3lvELc/QHqChXa3F4vBiNksMIXII81O+f4lIeELyL/BAYlW+bnbLRgMcj1YIAgNHbJIpjcQICPBytCMBDweP5sOtHOw3UNWspXBaVYGJ8v5pGBQUu/XYjQQCMq/jYYODwOTrHR5/SRYzQgBTZ0eMhKsmE0CSQKnJ0CC1URQCmIUgkOdXhKsJgalWPEH5P0R0NjhITPJyujsFCwWI3sOOaludpJgMZFgNdLlC2AxGvEGAmQmWWl1+qhvd5OdIn8m0S0ClDH3dW5MX5EcA4oyzWzY1R5ZP3FBKePzk7jyL5+oM8frzipi0Ro5XPHrc4tw+4mY1d91QSkVexspGzqQbftbyE5L4G8fV8dUPCs9NC6ZkMedr3azlm6YWkyC1cjd/4rsVz4oxYZRSPiDEps7vRHXXDyjhL9/XM3Ohs6I3ubhq6G7Lijl4Xd3qWGfhWcXk5tmp7rJpeYklPCJkluJzh/cMLWY5z6p5rJT8hiUbOOP67qbPSnhl+vLi6lqdHLfv7vv9ZZpI/AEnBFsphvPGY7L648IDy69ZDQtTh+/Cwt5LTy7mIGJVm556fOIbZlJVv7fXyO3DUqycLDdG/V5lGAzC377uizL/rPvFnJH2PO+8ZzhDE4NxCg/L55Rwouf1ai5JmX7nReU4PEF1PCaspoIv6Z8v8GI+1Wezy/PLqax0xvxfG49bwQOq4nbXt6s+dwXTy/hsQ3dzzr6s1xQXkROmp21X+3hrBHZvPhZDZeeks+qT6uZVjo4ptK+KCuRZqeX29ds0bze3ReWMjDJwu1rtnDtd08Cg+D2NZGr5uwUG4c6PdS1eg6b07riO/n85b97aXF5uWFqMc2dMjsyWuxTkbKJ/j5ddkoeCRYjBoPAYhAgICCJiOet7Puz7xbiDwYjfjvKe/dfOobKg11ROdASCrPcjBmczpvbDrL0jW1cWpYn/y7H50XUlCnyNeGf+8/PLIwoxg2/B+V78dh/KmOezZJQd9Bf/P2LiGfqMBv58wd7uPa7J1HZ4IyKFpRy4dgc1ZkEgxJvbDkQU4Tan7kxvdNND1DTEoip8r79lc00d3bXYkwfk6PWe1w8Phez0aR+2OHHXDg+j9tf2cy5o3NY/tZOpo/Jial4fmD9Lq48vSDm+Pvf3hlBRXb75OroPYecpDqsWDSueeerW7hm8knqvtdMPimmgv72VzYzfUyO+nr5WzsJhqTmlYr88Mr8i8fHCgHe/7Z8LyvW7WJPkzPifMrxe5q6nYjyXpPLG9PHZdmbOyLCdW5fkN2NTtWJhI9zT5MzZlvVodhtqQlWjc9jC6kOKxePz2X6mBxVyj58HMpziH6mV55eEKNUsPiVLRxydsvpTB+TE3NNrftVnk9lY+zzOeT0qpRxred+59otEc86+rNcsW4XlQ2dXDFxmDruRWs2c+XpBZqV9hajQXUMWte77eXNdHQFmD4mB4fVrO4bfo6q0Pcx/Pujdb/L39opU6lD3x+Hxcwhp1fzeWt9n1as28Uhp5eGDg8OqxmHxRzzvJV973h1S8xvR3nP5xeqEwn/bvj8gi31bSxc/aV6H1eeXhBTU3b/2ztjPvfFr8T+DpV7UL4XWs9m0ZrNbArTqVOeaZPLqz7z6Hu87eXNbKlvQ8HeJmdMrdXC1V+yt8lJf+EbcSRCiCFCiHeEENuEEFuEEAtC29OFEG8JIXaF/k8LO+YWIUSlEGKHEOLcsO0ThBCbQu89IIToc5d7sF27juRgR7fgXnhMXYj48fSm0KyrsUOOX2vF4t2+IF1xjtfqLx6UoMXpi3vNLq//iOcNf2puX1A9lzK+6PuLdw5lPNHnk6vtY4+LR2WNvs+e7hdvW7PTp3l8i8uHEPHvKe4z7cHno3XOePfRk+dzuOd+uNdBCVpdPvW7cLjxhz+nuM/E6z/sdzwooZ7nSN8VZazKsz7c89E6PijJz8jp8ccdT/i+Wu81dMTPJSl5TuUcR/u5h9+D1m8q3rnCtx3umR8IE/88XG6sv/BNrUj8wC8lSRoJTASuFUKMAm4G1kmSVASsC70m9N5lQAkwDXhECGEMnetRYB5QFPo3ra8Hm5Us15GEw2Y2kBUlfBe+T0JIdyv6/YxE+VwDk2zq+1r7Oazax2v1FzcISEswx72m3WI64nmjpULCz6U1znjnUMYTfT5JAqOIPU5rm9Z99nS/eNvSE8yax6c5zOpYtd6P90x78/n05D56+nx68tlFvzYISHWY1e/C4cYf/Zw0n0no+xTv2RgEEec53Hcl/Nkn2EyHfT5axxtCzMAEmynueML31XovM+y3GP5eZpKN7BR7xH0c7eeudQ/x9ov3nZak+M98UEq3LcpKjn8//YVvxJFIklQvSdLnob87gG1ADjATeDq029PAhaG/ZwLPS5LkkSRpD1AJnCqEyAaSJUn6UJJZA8+EHdNnyEszctcFpREf/l0XlJKeaFS3vfpVHUtmyvu8+FktPr9f7QcefszLn9dw1wWl/HtTHQvPLubVr+q48ZzhEfvNn1LE0x9UxRx/w9RitThS2bagvIhhAxJodXnwalxz8YwSntiwW9338Q27ZenzqHGt3Vinvl54djEGAQvKi3j1qzrmT+n+X7m/6HPcMLWYtRvr5PFkJEScb/6UItZurGNoRgK/OjfyXtMdFhaeXRyx7cZzhjNsQELEtoKBCdw8bUTEtoVnFzMsIyFmW8GA2G2tTo/G51FCq8vDPz+v5dWv6rgj6v0bzxmuPofoZ/r0B1Xq81C233lBCQMSLBHfiehrat2v8nxOGhj7fDISLNx9YWnc5754eknEs47+LBeUF1GYmcjfPtrD4hlyo7AlM0t5+oOqmO/dgvIivIEgd80siXu9uy8sJclu5NWv6nC5feq+4ecoCH0fw78/Wve78Oxi/vl5rfr9cXl8ZCRYNJ+31vdpQXkRAxIsZCZZcbl9uDy+mOet7HvHjJKY347yntkkafy+SzCbJEqyk1k+Z5x6H09/UMXi6bG/y+jP/c4LYn+Hyj0o3wutZ7NkZimjc1JinmmGw8LajfIzj77Huy8spSQ7BQWKUGf4Pv0t1PmNs7aEEEOBDUApUCNJUmrYey2SJKUJIR4CPpIk6a+h7U8CrwN7gd9JkjQ1tH0ScJMkSdM1rjMPeeVCXl7ehOrq6uhd4uKrfS1kJYlu1laSjbz0MNZWp4dBSTJTw+2TaHF5SXOEsbacXjKTrEgEERhIUlhbyTaCSLS7fSRZzbS6fCTaTHj8ARIsJlxeP3aziZYumUXU5ZPZXL5gkHaXH5vFoLJ63P4grS4fg5KsdHoDNDm9ZCXJrK2alq7Q9SXaXH4GJFpw+WTW1oBECwZDFGvLbAShxdoKhNhQHrISbbj8kawtk8FAotVEl8+PQRhk1pbNTJs7jLVlNSPRzdrq9PhkJpo/SGeItdXa5SMrKcTa6vCQkWAh2WaiyxfA6w/S7vaTaDWRYDHS6fVhNZloccpsmASLkXaPD4c5xNqymTCbolhbTi+ZiVYcVm3WVqvLS4rC2rJbCEoya6vLGyTJZiTZLu/r9gVwmEOMqSjWltsXJD3BgscvPwst1tahDpl55fEFsFkMMmsrKOH0BXC6Q9t6zNqSP7sB4awtm4mkEIvOZDDiCwQwG41kJcuMoRaXzEKKYW0FZKXkQ50eku0mjAYDrS75MykZnKKytpqdHhJ6xdpSWIkBLEYDNnMkaysryYbBEMnaSnXIgqNdPrlhWnqChQ6P/F0zmwQWgwGLSWaVOczdrK0Wp5eMRCudHh/JNgsmA6RGsLaM+AJB0rVYW0lWBqfHsraanR7MRgNBScIfkGjs9DAgUWZtJVrNIKCp00t6ggWrSRCUwOUN4LAYkSQJgxA0Ob04LGGsrZDygBZrq6bZiSOCtWXAFwgyMMTaOtDuZlCKjZLslLisrb4W6jwuCxKFEInAf4B7JEn6pxCiNY4jeRj4MMqRvAbUAL+NciS/liRpxuGu21v67weVjVz1dGxh159/WMZHe5oBeGBdJTdNGw50J2fzM+zcct5IfIEguxo61Srn+2aNwReQIropzp9SxKd7mphaMkizB0aLy8tvzhvJ4DQbB9o9rNywW5MNo+z72A8msLmujWVv7oy4l/A+KeHHraqoYd7kk+hw++jyBjitIJ3dh1wxY1GKL5WamBWXjmPBqshK+/DaibK8NJa/tUNVJT5laBrb9rfzx7CEqqJum5Nip6alixSbkXtf3xHzOShtgZXr2Myy/lZ4H5IxOcn87MxCth1oJxCEj6saueqMk5Akib/8tyqGcRPOals8vYS/f1LNxrp2ls0eQ26ajX3Nbh56ZxeXnZLHkDQHIhQm2t3QqUqhRDOb7ppZSqvTw/IwNWSQ62nCFQOityvHPhwqGL3xnOKYz095Dk+8V8WyWWNx+wMkWk1kJFrY39LFglVfxex/4znFnD86W68d0XHMOO7ov0IIM/Ai8DdJkv4Z2nxQCJEtSVJ9KGzVENpeCwwJOzwX2B/anquxvU/R7tZOcLW75eRgotXI/PJChmclqS1kAbx+ia317eSk2tUEmtsns4FumTaSO2eUkGQ3kZlk5ZcvfBVSy+1URRon5Kfxh3/vUCuuD3Z6yEy2qcb92Y+quW/WWHaEiRQq+26ua8Ptlw1buMH+zfkj2dnQwTWTCtRqbqUxktIf5cn3qxiXl6ZeRxn3A+t3cf+ccdy1dqtqhHc1dIso2szaXQzDJVJuPm84DosxoiCzxeXFbjbyx3Wyhtf9oWV5tOM2CNQOhcqYnF4/d184mttelp3yzoZOOrq8jM1NwWoyUpyVyI4D7byzvYHzRmfz4uc1/H7WWNxeP0PSHSRYjPxgYj42i4knNuxmY107NrMBm8mIJAlsZrhrZim1LV0Rfc+VolMtZtPtazazfPZYlswspbbFpSoAnDwkVfO+wrsu3r5mM89edSr1bW41rxG9vyJCGd72996LRtPe5dXcH9CLEHX0K74RRxJiVj0JbJMkaXnYW68APwR+F/p/Tdj254QQy4HByEn1TyRJCgghOoQQE4GPgSuBB/t6vAlWk+YPNMFqItlqBCFYuaGKO2eURBjtaIO6aPoo3t5ygFOGZXB9GMf7V+cOZ355Eb95aXNIKViOv9++ZjOXluXR2OnFYhKMzknBbBTcOaOEQ04Pf/2ohh0hmfbosXX5gvzz81pVSFGZOYcbw/B+6wqDxGqSpTwa4jA/unwBLpmQy4T8NBrbu1Tj+OJn8rXc/kAMpXH5WztV/a6/fyLXkxgE/GnuBDlkkmxFAE5vAJvJQGOHW1NQMtVuorXLr65MXv2qjgGJVrJTLPxxzjicXj/ZqTYOdXrZGaWJNX+KXENz5ohMvP4ASTYzK/+zm7NGZGI0Grg9yknc89o2LCbBtWcVsauhJUZtV6k0j8e82X6wI0KkMsVuxmExxigAK59B+CrO6Q3wzId7OK908GGFMMMd0K0vbeLX5w6PaSZ25wUlCCQGJesdEXX0H76R0JYQ4gzgPWAToPwKb0V2BquBPOSw1WxJkppDx/wGuAqZ8XW9JEmvh7aXAU8BduS8yS+kI9xUb0Nbm+ta2VTXHlPoNzonmVaXj0/2NuOwGBmWkciW+ja5IZXJwEPvVMYYeEX/KFyPyiggI8HCwQ4vRgOMyU3lgbd3qrPjhVOLGJRip661K6YI8F8b98cUGN59YSkPrpfDI4qBGjkoSVMnSlmBKP8r3fSumVSg6aCU/eZNLsBiNJBgMeL2B3n+U1lsMTfNQWVjZ4R2Fchik0q4aWtda0wI7/bpo/jn5/vUIr/izER+MaVIXq1YTLQ4PaQ4zNz04qYII1mUmYAQUNviocvrY1CKnfYuf9x7ffidSn5/yWjuf3uXKtp46/kjyEyU81U2k5GaZid/2rCHi8fnsnZjHTeeM4IdB7U1uQDN53TdWYWqWKbMRDKyYt0u7ps1hhFZyVQdciJJEjXNToJAks0c8TwWzyghPcHCva9tZfaEIQxKtqkilBaT4KZpI6ls6MRiEvgDEm5/kInD0tnf6qK21a0qDA9IsOD2BZhYkEFpTqou1qjjmHBchbYkSXofiPeNLo9zzD3APRrbK5AT9f0Gjy/IY/+pVGegkgSP/aeS318ylt+8vInZE4YwINHK1vo2NQ8Sr795fVuXZvhn0fRR/PPzSCXXxk4vF4/PZXh2Mp9Vx86KlT7emclW7p8zjl0NnZQOTubZD/dy2Sl5Yb1Qqlh6yRjN8djDch+Lpo9i6Rty5a+ywogeo9Pt45ZpI3hsQxU3TC1CkmDDznq1ql9rtWMzG0i0mchwWPjtG9vVMFr4vdy1dmuEyOCk4ky1kRTI7W2VymHlmMWvbGHR90aSnWqnzeXBaDQy79nPuGZSQVwev81soLq5S12FpTksCAQNHW4OOb04LEZyUx38+tzhJNlMZCZaVEHM6DyUQcALFbUxumk3TC0OTSQihSfTHBZ+9Y+NPH5lGd5AgP2tbu5/W17ZhHeXdPvkArYHv3+yWhmviDveev4IvAGJhau/VFeZyoTlidBq6oWKbmeXn2HnrpmlbDvQQVuXn9MKMmISszp0HCt0iZQeoL7dTXVTV4QQIcj9L+IlvOP1N3dYTHKXvjj92x8OGYUkm1F1NkIUqPuFw+0LUpSZRF2ri6c/kEX/fj9rLCW5qRQMTGRBeREWo4HCrESI0+u9JCeFQCDIHTNK2HWwQ1UFDu9HovRPeWh9JRaT4OZpI7niO3kMHeAABJdMGMKuho4IoUol7/Lk+1XcMLWY217exM++W8hffnQKtS1dmvcSXkgVHTKKF0LKSLTS2OFheHYy7+06xDWTIrtTht+rQcCSmaWs+rSbsTe7LJcur5+ABGu+rOPSsjzNXEj4fc2bXECCRdbFur68iLQQZdXpDaitBH4bVYW/ZO1WNZ/V4vRgEAZVwDLevbl9QdxeP9edVcjARCuJNhNpDrNK/NDKzyght4ffqVQFOcMbni29ZAwzxgzWVyY6+hS6I+kBMkIc8WjDlGw3a8o/XH1GgWbv7kXTR9Hm8lAwIDHujFk59+BUh6rIC92FadFj2H6ggyffrwr127Cz7M3tVDd1MSYnmZ+eWYjJINi6vx2jQFULDnd6d4QkNT6uamTh2cMjrqGsZhaUF/HAum7DdENoNmw0CM3WtorRLc5K5LqzCnnqg70A7G/rQghIsZu59bzhtHsCgBwukkUBIxuIad1v9Out9e28UFHLdVMK1RVbfoadxdNLIthZt08fhT8g01R/MHEYU0d2sfNAOxecnEswKPHz5z7n6jNiZU/CDTPIK5hxQ1LZXNeONxBECC/7WrtUJtmYnGSuOkN7RaTks5bMLKWps+uI95bmMJPqMPHp3hb2tcoOPtFiiutso79H4c3PlPduenEjo3NS+i3x3l9igTqOb+hr3B7AHorHhxf43HlBCQfbtBPSQsirFafHz4OXncyy2WOYN1mmxz7+/h4GJnUXLylQ2Dg2s4F7LhqNQFLP/eJntaQ7Ygu1bpgqF3QpBq+xw8PPzywkP8PO98YMZuHqL/H45ff+8kE1STYTV59RwHVTCrn6jAKe/aia6ibZuFdUt7H8rR1q8ZtyjcUzSnjmQ3kGH26YrvhOXsxs+IH1ct5BOXbnwU6Vvjp3Yj4rN1Rx04ubuH7VlwRCTZmeeK+KK0/LZ+klo/nrR3vU3vbRxXBaRV5KGOfi8bkRobLqpi4e21DJslljefSK8fxxzjie/6SGTo8sBnj9qi/547pdTDxpIItf2czOhg6uPqNAs+98uGFWGkv9/G+fs/ytnTzxXhVJNjPJ1u7C1EnFmRwI9buP/nxtJtlZLFqzmdz07oppJYwYU4SWYGZbfQcrN1Tx0PpKnniviqKsxIhza10nwWLk2rMKyUvXvp/+kspQxALPf+A9vv/4x5z/wHu8seUAwWjNDx0nHPQVSQ9htxgj2qTaLUYyHNorFSWEkmQ1kmgzqrF+ZUZ/60ubNPMPXl+Ax+eWseeQk4EDHOq569vcPLahimvPLODJH5bR4vRhMMBj7+5WY+FuX5AEi4k2l5c/zhnHOzsbuWZSN6uovs3NvmaXZkdAhZpQUd3G1FEeNRc0OieFYFBidlmuSnNW7iMr2XbYPISS8AftmXH4TH/Ful38+tzhTCrKotPtY8VlJ2M2CNz+AH/50Sm0OL1UN7sQkqR+BiOykrjntW0RjLNwVDd1EZAkVr67m8nDM5lUnBkzhttf2cyC8iKSbGb++PauuH3nlQn1j0/Pp9Mb4JpJcqjxxc9qWbJ2K4/9YIKaJxECnv6wmhumFkf0bFcUXLNTbNS3uZEkSWVw1be5ZRXaOePo8gU42O4mL91Bu9sfI/B419otKt1Zcbbhq8JbzxtBeqKVG1/4Ku799JdURjyxQL1v/IkP3ZH0AL6AxK9DrXIV2MwGnv/Jd7h9+qiIjnVKMdqzH+7lvNHZpLst6nHhBlXJPyhdFf3BIA3tXn4SSjbnZ9gjqJwWk8BoMHJ1KD6uhJIaO71qQruurYt3tzeQlmBl5YYq0hwWFs8YpRqTv34U21d90fRREQV+He4AD79TSX6GncEptoh7WzR9FPkZdqaPyYmbAxqelaR2CrzxnOEse3PHEWf6bl+QzGQbbl+ALq+fvYecEUZ4ycxSRmYnYTEasFvNIUduUB1cvJyI3WRkZ0MnZ47IJIh2GEjp6hiPYKB0t7z5vOGkOiwsfztSovzZj6rZebCDksHJrJw7AYE80Rg6IEF1epIEz3woJ+iVvJHJYGB0TjLzJhdgMhgYOiCB6mYnXd4AowancO9rWyOaeSmobuqiudPNslljqTrk5KSBifxp7gQa2j20dXnJz3CoEvpa97P0kjH9JpXxbW6kpYfkjg26I+kBWlzayrGNHV58/mDESsVkgEGpdm46bwRXP13BfbPGqkYufOYc3uVv4dnF+IPBCFZWdVMXj7xbycq5ZVRUN1OYmRSRM4lOaN963ggA5k8t5rpQUeTF43P57ev/v70zj6+iOvv499x9yx4CISHBkIQtLEJE2ypVQKUWRQu4Y9+qpbZaQNRqq6jFpaLWBdQqahdt37pWrVSpFRf0lVoQ2ZckIAmEQCD73bd5/5g7k7vMxWDYtPP7fO4nuXPPzDxzZuY85zzL79miDibKzPfxS8fQ7pWpHEIxs4Mya35uZX1MaQxXj6Ocb8mK7dxzwQia2v00d/n55eQhCSVxZ0+o4N7YKqE0z869F4xg3pmDMRoEpXn2hPK+8Ssh2Qwm513MnlieEp02/42NPHzhaK55aY2qZK87oyLRJ5KUd3L3+VW8sqaeu8+vwh+KEI1KzJ5YriaGKn4ZbxybanyAQWVfF31cVu57ewvrGzu59oxyHnk3laJ81vgyOnxhZj3/GU9ePoaafW6WrNiRkOkfD6NB9lW9tKqBH4wdwMurdzPzlNKECpULzhvOJeNKMBsNmgqywx9hgEGQ7TARDMvRa00dfq49o5y9cUzVydeTaTPxnbL8IzZAKmSBR2sFdLhwLOp3fNOgK5IeINOunZDospkSonOU7cpKwx+K0tjuVc0Pyu/J7csLXDS0ppbLrW/xsXZXO5EoSFFJU5mV5NqZNb6MDLuZ/Z1+tjZ1Jjhj61t86mAiBDgtRkxGQX2rly9avLy5rpHrJ1VQkuegZm8XN5xZSUObl817OhPOp5jlro5bEV0/qZI5EyvIdVpoaPWpjnalbfzqSS7AVJdQcOm5lfWU5tm57ZxhtPtCLL7kRCwmgxolFX+du1o96jUM7puRUKO+vsXHkx/W8fTMalbVtxKJwuL3apk9sZJ/bmxkyqgiAiGJJW93Kz2l4FOLO6AZYHDVqWXc/Op65kyUV33KJCA+cRCgosDFvW/Jx5UkkWCK0rrX3xmUz879XZxdVUhjm1czgu/2v29izsQKdrV6WThtJDv2u9XseCVU22iAwiw7fbOstHmDAGTZZNOZ1vUsmTmWnQc87Mn3MTD/yKwOFLLA5AH5SJIFHg4cbZPcN3H1oyuSHsATCGtmGCs1yuOhrDzyXRYeu+RE/GG5NOaciRWImO8kOd9i4bIt3DFlOHMmlvNSUg7AwHwndc1d5Di16TIaWn0q79XDF45WtyvtFFOUELKPwyBEQjjo7AkVPP5BHTeeNYR9XUGe/VgeFK+bUJ5wHC0/x8PvyrXo/SFfgu9Fq+2vl27i/umjqNnXxdB+GTS0evnht0vJd1m5+63NTBlZhNEAQwszuX5SOQ+/W5fQDy6bWeWumj2xXFPprqpvTeCyuvW1DVx3RjkGDMx/I3E19+jyWp6+opoBOXbuPr9KLR4Vb7JS2j04fRT1rR5K8+wp4d63Txmm9nl8XQsts9LsCRV0+EP0ybTzs/9dw5yJFZTkOlKuJcdhIdOemKA4f8owOn0hXljVwDXjy/nrf2R+sBd+fApvzT6NVk+AXa0+5r+xkV9OHkKLN0hU6k523bSnk0eX1+KymSnJPTIDl8EgmDy8H0Nmn3bYyQKPJI6mSe6buvrRo7Z6gGy7mRdXNyREPL24uoEsu3b0VYHLgsVo5MZX1nHjy+uZ9fxn9MmwUl7gwmISmpFTa3a189QKOYKpMMsml+McX84vXlnHouV1zH9jYwp99ewJFfxtzW5AfvAjksR9y7aoEUArtjVzzXfLefbjHbz62W6Ksx2a1flmjB1AIBxRV1GQGkkU/5sCZUVkMxsTKNjTta2Jhb9GJZkGxGQQLH6vlouqS3j24x0sWl7H9S+uJRSVHdvKdd557nDVV1OYZaOiIIPZE8u5bkI5hbE6DDazIYGHSzlnH5c1bTGgVTtb2dzURUGGhVnjy1g4bYR6T+KDGGqauxiQ4+DOc6tSFOSCpZuZUV3M7AkVHIitbqDbrDRrfBkLfzBCfWaCoSjBiJwj4gnKjvXkZ2hGdXFKwuZdSzdTnONgysginlxRx2mVBfhDUfZ0+BiY58RsNPDL1zYQDMtZ7kqk11MrdmAxGXl7QxP+kEylkq5SXjQqsWO/m5XbD7Bjv/srRVsZDIKyPi5OKcunrI/razE4Hs36HYdavfBw3JOjAX1F0gNYjAbmTqrkiwMeopLsB5k7qRKrUSQw4hoNMKJ/Fg5rt1Mc5Iflttc38swV1ZgNBp79eEPKykIh4nt0eS0PzRhFttPClX9clWi+WVHHUzPHsq/DjzsQpijHwdyJFTisJt5ct4tch4VzRxUhIcXySmRHspJJXxNLGrzs5BL6uKw4rCYa270UZdvpk2GlIKM7Ci1+ICzOtlOUbU+7IlJMJ4qvaFhhpnbejdWoZuC7LEYKMmya5UbvWrqZP/zPSSy+ZDRCCLzBiKpEZp5SmpJp/uLqBn4yfhBPrdiecN9sZgMD8uxEoqj+kRXbmjmtsgCjASoKMnjwna3cdNYQFi2v47oJ5ZpRbZEo/OLV9Tx04ShNhVSUZeeR5bVYTCJhdZNMRnnHlOEsWbGdG+Nqjry0elfKyqW8j3aeUWN7d1KsEh2X77SybNNetu7tVP1iSqCCst+db27iqlPLWN/YmXamfThmyofbZHO0TEBH0yR3KKufr9PqRVckPYAnGKHVE1SduzazTLToybKxbGMTs8YP4q6lm8lxWKAaygtSB4Ich4VgOIo7GE6J9FJMKSA/VKGoxJ721Ozv+hYfW5q6yLEZcVnNzImFFVeXZnHxuIFc+adVKpXGCflOMm0mldPrxdUN3DJ5KDecVcmuVq86uCnFjGr2dmExGXlg+khuemV9wnH6uKw0dXi594IRKdT3CrXK/Dc2qtxefZxlKWGpD0wfSTAsqZTvNrOBhy8ajdFAAu8YyKuhlTtaVNLDey4Ywa++N5jCbEeCb0RZUf3pR+NocQe45XtDue/tLQTDcsjy0H6Z1Lf4EjnSknw1sydUICGpuSvpSBL9IbncqZaCdFhNXFhdTJ7TQmmeQ1Woo4qzkCSYO6kCe4xduKbZjctq4vYpw3hqxXYuHVfKvzY3cf/0UfiCYQbk2jEKoXmekcVZXDehHGPM13XHucORhMTCZVs4d1QRNrMhbZKi1dS9ktWaaffWT3C4B72jqdiOpklOqcZ4sIAERe79XYFe+26OljI+5oWtjgUOlbTx/+r2J6wwQL75z/6wmk+/aFVDbRVKkwemj0oY8JREtvg6JTdPHoonEGZXjIhPMaXYzAbunz4KkwHmvZRKPPj0FdW4/WF1QC7MsjF/yjCVeymZw2vOxAqcViNuf0RzgLSYBDedNQSDkNkzw+EwTZ1BsuzmBGV3/aRKBvdzEY3Cxj2dDMx3sqfdS5c/QobNyH2x+iHXniHP6uOVg0HAuIG5XP1cYh+W5tm5a2qVar+Plxlg4bJt6nUrg7NWJJRSt0NWWKMIhCMsfq+WG84akhDpphwrPlNd6dPmLj+3vrZRVaAluQ72dvj5y6cNanj1nIkyt1hy/yqhvQumViFFItz82ib1vmvdj5HFWRzo8uOymfGHIrT7wgn+kLvPr8LjD6dExBXn2Jj9wjq1Tf9sG3vavOQ6bbR6g2TZzHxxwJ1SB0Xxn13/0tq0g/HK7Qe45OlPU/r2rz8+mW8Nyv+yV4Qd+92cs+ijlPO+9RUd1umO96cfjaNPhvVLB8RwOMonO1pYXd9KVJITWm+ePPSwzOa/6uAcjUq8t20ftUnM1PH3JF6Bpov8e2HWyZxS9uX35EisaI4r0savG9xpbOwef4Sq/ln4Q1Gu+FYpvpCcrNbc6ec3F4zgl7HZ+4zqRE6k+hYf815aK2dum4xq1I3NLGfM//adrWTZzJqUJre9voF5Zw5OcGzHmzW0Ev+enlmt5qco2xe9Vys7ooVI4Ja6+/wRlBe4CISjVBa4VOJITzCMxWSk0xfiiQ8SWY3nTOx2zMcnQMZzky2cNkJzhaVk3ifLfN0Z5Ql9HY0LFU4eXEpiJgh/KEptc5fKmVXX3KV534RI/L5uVzujBmTz+KUn4g1G2N8VwCiESoZoM8v5QS+tqicYlrh/+iikqITRIFiyojsp9PY3NvLUzLHYzIZuE2KGlScuHYPDYqDTF6EzECIQitIvy44/FMEoDCn+kNtelxMl40lCX1zdwA1nDUloM29SBRl2i1oDR1m9/eYHI/jl37pXjnMmVhCKRlk2+1QikuDTL1pSBsB0obuhiEQ4HKWhzXvQgfNwO6zTHe+jugM889EOzQExfoAPhuWE0/iV58JlWxjSL0PThNRTxdCbwXlni4fr/vdzchwW9d4aBAwrzFD3TV4Z9iac+mhGo+mKpAdwWbTDfx1WI/5QhNI8O5l2c8Is48azBvO7y07EHYgAImV1UpzjAKDTF2TJzLGsrm+jvCCD376zlWBYYnJVIUtWbFdDiYf0y+TJD2STjNEgEgZuxeSSzqzhDoQ1Q2r7uKzc8eampEFsA/dPH0VdcxdzJ1Xi9gf5xd9km/8baxtZMLWKu8+vYldrd8GmPKdFNXspfZPSV2n6sNUT1JTZH071IcXXV4lXrnvavWrbqITqd0mX2R2/CLeZ5dot+7sCFGZZCYSi9Mmw8eA7WxMG8sffr+WOc4exba87IecjPinUHzvOLycPIRCJqoENpXl2bp8ynJrmLvzhKIvfq+XHp5VRmuckENGepPTJsPLo8u5IsjumDOeZOB+QPxTVNPXd+toGHrlwtGYy5FOXj+Unf04kcOyfbSPPaaUkx8HCaSO5+dX1Cdc2/40N3DV1hMrKLK8iR2A2ioRBt2+mLSFCEORVgDLoHeosPp1iU3yJyoA4MM/JzhYPLZ4Ae9r9KfIrgROKpaDVE0gYRA9VMXzVwVm5fq1J1rcH5akh2fEKVMvUeii+m3TKuCZWEuFwmrl0RdIDOK3GFJv/nIkVuKxGJCTuPK+Kn8ZeUJBv1oPvbGPJzLHc9Mrn/DwWSpvjsHDN+DK8oUiCw3jemZW8vHo308YWU9/i4+bJgzEKuPGsIXgDYQ54AixctoUpI4tY39jJkg+3qzQZIL+wsydUEAhHNF++LXs7ueJbpTy3sjvPY0Z1MQ6rKaFSoiJ7XVzlvbvPryLHYaGPy8JF42QmWcX8c8vkITitRoLhMGFJMGt8Gfkui2Y47dMrtqe8FL8+b3gs6is9LYnNLNN+dPrDXDJOZhxeOG0EuQ4L7kCE7fvdDMh2qtQjRgFSTKFqvYh3n19FqzvAdRPKeXNdI7PGD2LJiu1MHV3Evk4/z62sZ0Z1sSbbs9lg0OQXU0xlNrMBq8nI/lBAbafk1Fwbt2r45eQheIMRfvzc6rTKbm+HnycuG0OXP0xBhpXfvrOV9Y2dCW0UGeLhD8k+Nq2SvhsaOxJkv/nV9Vx3RjnBSJTKggxyHeYE5akMwqvrW9VruXRcqapUbGYD908bSWG2jVy7hRvPGsxNr6xP6OuSHEfawXpYYQZNHdqKRcsBnuxLbPUE2Lq3i3kvrVUTc9PdG2W1GpUkxkSltCsALSWlKL+SHAf7uwJcfVoZBRkW8p1WuvxhHFYTnb5guuFDvf5tezsT7rXyHnqDEXbsd1OS4yAckTQDXk4ckE1pnvOQBv90ynhDYydzX0xv5vwq0BVJD+AOhijNc/Dg9FF4AmGcNhMGAZ5gmDZPEIPBoPlCd/jkjHiDEMyZWIEvFKHFG0zJ3H7oXzU8MH0Uje1eSvPsFGRaae4MJCib6ydVkuM0seiSEwmEIgzIsfPIhaMQBgNF2Xa5Xsp3TkipkBdfP2PW+DJeXr07pcZ4cu2Q+Mp7t72+kd/OGEWmzcxtb2xI8MMoCmVQHxetngA5djN2s4lMu5mHLxytFrJSjt3hD6mrnaH9MolKUUxGkZJbc8e5wynOsfHYpSfiMBs44AmptUiUvujwJm5THP+5Dgt9Y0l58ZndMhVNLvPf2KCaO+ZPGYYUjXJRdYnaR1edWpbWqd4ViKQ1lSly/emTHVx92iA1ag6gsc2bQEUf/wykq/uyZMV27iquor7FS7bdxIzqEjbu6a5LUpbvwmzUdsr3zbBqbi9Jmsn6Q1EG5DrYsd/NPW9t4cLq4rRRawCXnVySEhH2i1fXc/PZg2nzhSjJdfDzCeX8+d+yX+m21zcyIEfmjFu4bIuqpAAWLtvC1NFFLFou0/Hc94ORGITAEwxTmuvkhHyn6gCvb/Hw+a72hLBsm9mA2WhQlcCXMSEr15HMfpxu1r6v068qqXjFuPi9WrJsZi45uZR5L3e/n3dNraKqf7ZmrZeGVg9b93bisBhVc7VSSyb+PVw4bSTPr/wiJQ9oaGEm360sOOQB/2DK+HCbuXRF0gPYTSY2t7kTSqTOO7OSgoxsHFaTui35BcyJkTp6ghFe/Ww3cydWsK8roPng1jZ34bSYuO2cYWzY06FZxOqJS8ck2MPvmDKcV9c0cO7IImaMHUCu08oD72xNW8e9KMvOr84Zqhn5pMzo4md9yu9b9sr5H/OnDCPXYVFp5LVqsx9wB2jzBBjWP4sTYjM6pT+uPb2cve1expbmUN/iIRyRiEqC4hwbT14+hjUNchb/kx/Wcc13y3nywzqmjCxKmWkqBb2Sr2HJzLE8+M9tCWG4Sma3rKw2qDQt/pAcZvzUzLHc8uoGtY+E0DYpXD+pki5fQJNmZWg/mV8sP8PCtRMqcPvDACkTgT9+Itetj0qJVDmKsivJlatgevwhrhlfzqLlNZxc1ofPGtoZU5LDyz85hS173dweU7padPmzJ1TQ6g1oym8zGdSqjorsNfvcas0Yu9nAPRfIyit+EHvmo+1ce0Y5xTnayZNOm5mF/9yWMBH466f1rG/s5KO6A2RajZp1e4pybIwsymTamGLW7mrXdECX9XExMM+JLxRN8CU+dOFogpFoAsHozZMH4wkmliZQGLXjB9B4v026KCqH2ciPXlqlrsR+MKaYhlYvN541BIvJwL1vbU5QjI+9X0tlXxcjirJTVjFrGtp5Y20jU0YWYQC5sFk4wrrdHQkEoMoKUckDUvri3gtGfOkYpYX4aLSafV1saOxMyZE6XEmXuiLpAXyhaEoi30P/quGZK6pp7gzwlIbZZsHUKpxW+aXa2+GjzRukzRdUacC1Zn0Pv1vD3edXJQw0CvyhKGt3tyfIoGSL/+KVdcwaX0Y4KlHf4ktbx72hzZd25ja0XwZPz6zmtjc2JPhS4u3Sdy3dzK/Pk+vSazn2H/pXDfMmVRCOokZoKTNsjz+EPxRhQK6Tun1uHFYT977VPQD+6ntDsBgN+KUo544qUpVIOnmT87L8oSir69u4/FsDKcyy8vzKL3jowtFEohK1zV10+kIJXF/KPut2dSTMciUJlZNMycQ3CLmUQBRDwgs+Z2IFBZlWTEaDWhnzmSuqqW12a04EFDNLcm0ZRdnNGl9GcY6DwkwLXxzwctFJpexuk31RS1bs4MEZo2hxBxIGnydX1KlyDu4r58UsmFqlJtBm2IyU5Djwh6Ps2O/GaTHiC0W4/dxhdHmD/PlTuV0oEmVkcSYNrb6Ea3zkotFccvJAbn1tg6YZbkZ1sarY1OfyzU0svvhE7n5rM5JE2rDtJTPHcvX4MvbGlZBWfk+eLQ/um8ETl43BaTXRN8NK/0w7/9jYpEYIOi3GFNPzwDwnRoPg1+cO54AnoN7jeGe10YCm2bozEFKVSPKE6f5pI7h0XGkCsejsCRV0+YMpJryF00byv5/uTFCkyVxx8YquNM+p5n4pUY/1LR4aWj1fidpGSRAFmPvi2oR7dyiO+y89z2E5yjccXX5th6g7EGbB0s0JfFazJ5az+OIT6ZtppWafh79+Ws+w/lksOG84kgT3vd2deQ7yzbw9VmbXH4qS67CoA0084k0M8TL4YjQtFQUyA67NbEhb30LJgtc6NsCjy7cxa/yghP2Ss+cVp3m6Ab4w26GZYFjRNwOnzcT1L62l1RtScztAntV6ghEee79OrbtxUXUJGTZjWnmTV/lK/9z+xkZq97n58fhytu7tJBLzF7T5QprHCUe7o2PmnVmJy2pk9sRybjtnGC2xuh1RCfpk2BJk9ofk6LKmdj9zXvicmaeUUlngosUTTDsRUExglX0zuOf8EQn9PH/KMOxmIy+tqmdfl2y2u+mV9Ty1YgfXjC/j5rMH0+EL8ejyWrWPZp5SSjAsqYwBtc1dXDO+nMXLa7iouoSl6xuJRmHey+uY99I6Honxvb28ejfXv7gWSQhmfVc2+5mMglBEUn0AhVlymYAvDni4NRZ9qPVcDUqTPNnmDXLz5KF8VNOMP6RtElxd30Zjm4/SNIXe6ls8rNrZwpvr9/D9xR9x5R9X88Pf/4dNezpZs7uNL1o8XH1amWZtnEeX15JhNzH7hc+5+W8bWPxenVyW+NITE5zVTR2yXyyebeK5lfVYTHKNGa0JU91+T4qJb9F7tVhMphR/y82vrue6CZUEwhE5zww5GGR+kvJd9F4tM6qLEbH3YeYppTz7cTc7wZqG9h5ltafLhFfMXPH37nAmXeorkh4gP0O77kies5siXonEKMyyMeBMB/Nf2MjVp5VR0+zmJ89/RmGWjbkTK1JIFCUJOv0h1T8RjkqUF2SkzJLi63vEy2CPDexOi5FQVFL3U5x0JTkO2n1BzAYDbd6gZg2L22M2+fhIsdJcO7vbfSl26d1t3oM69r1pQqW9wQi3vrZRHVDjZ1zJJIzKi3X/9FH85q0tKh19vJnGbu5mxk02XeQ5uyPUAqEIcyaW8/7WZk1zj9Ni4A//U40vGMFpM7E4Zk7asKeDoYWZvPZ5IzXN7rQ17/tkWJkbq10/d1IlNfu60lazHNI3g8UXnxiz70d59ofVNHX42dvh57H36lQG38Xv1ajPR47djMtuor7Fy5KY+Si+j2aNl1cnC84bTnGunYfe2cbq+g4a2wPced5wNu1JNJ88urxWNX0+8UEdt0weqoZLz0riYFu2sYl8l1XTDFfZ18X2/W6sJm2GYrvFRFO7j8lVhSklBxQnc1GWnT0dPhxmg+bvzV0B3IEID/2r+7pzHBYaWr3ckOSf0Lo3e9p8zJ1UQTgi08b4QxEG5XfTtkSjEg6LiTZvMCGwQvEzPXThaDW0Ph7pJgp70xS66/CGALhmfBlPrtiRdhJWkutgd7s2keevXttAcY4dq8mANxjRDFD4sgi0I5l0qSuSHsBiECllcxecNxyLhrNzRnWxOttQZnAKhYrTZlKdwPEJcVedWqbOSncccJNlM1HVP5MHpo/CGwiz3x3gH+v2cM348gR7+B1ThvPcJ3Ip3LrmLv7wST0//W6ZWquivMDFwmVbqG/xUZpnV+lJgIRoHYfVQE2zm/3/rlcH92A4QmmeM8EuPXtCRWy2JvjVOcNS8lzmTKzggCegObC4bN0lYl1Wo+pozHFYmDupQvPFAon5U4ZiMRl4cPoodrf76J9tZ0+7F38owvNXjuOjugMJDn2b2UC/LBtrGtpTzFBvb2hi1vgyyvJdHHD7+fvaPUyuKuTuvyT6neIz35V6LTv2uzWva39XQC05fPVpZTgtRvJiNdzjlfU9F4yg3RvAH5YSlOKciRVkWLtfwyxbqj9hzsQKTGkCOob0y8Ab4+x6/IM6LqouobE9QB+XhQ5vUNN8opg+Z0+oYFerR5OmRlHk25u7UsxwS9c3ctfUKoqy7OS5zCkU/necO5wOb4C+mTZujJlpFCWu5WQunlrFr743hHvf3kplgYufnl7Olr2d7Grz8ea6RjUYoqnDr1mnPl1tnObYvYnPByrNc1Iam4Uv27SXhcu2pEww7p82EkmCPhkW+rjyE8yUkL7sdZZDm1hVGAQSUJBl46ffLaPZHdRspyTAzjsztQ6NPxSlocXLbXFBKclRV18WmqyYuY4Eo/E3IrNdCDEZeBQwAs9IknTfwdofamb7x7X7eeTdbVzx7TJ8ATnc70+f7GDupMF0+MLc8HKiTXTOC2vVfUcWZXLRuJK0kRp3njscp9VIbbNbtbPPnzKMPKclxaZZXZrFDWcN4YA7QJbdzM4WDwfcQfKdFn734Q41tPfW7w/lxpcT7azxFQXjoYTB/nxChRqyW5pn52enl/PEB3XMGDuAflk2Glq9qnyK4xjkhMjKvi5a3AGyHGYWLa9NGQhvnjwEo0CNsrrxrEoee79OXcIHwhGeSnpZS/PsKvVM8kCoXMOii0fR2O5PsW+PHpDNj+J4ykB+UZ+8fCyRqGySzLSZCUUkZsdoZuLbJWe+X3VqGX9bs5t5Z1amMDcLgXr+6yaUYxCokXHFOQ51IlCSa2fbPo9mVNSs8WVEovDsxzt4+opqfvxcKovCA9NH8eA7W1PyNJTIJ0WeF1c3cPFJJZTmORMGleRzKeHKin9FK4P6/mkjePjd2gQfQWmenWtPr+D2v8v9MHtiuepIVlbYS9c3suC8KjzBMD/7y+eAvMr41TlDEaAmwMbL9ciFo8l2mNnd7ue211NpeKaMLOLx92U+tGRZC7NsXDehPOVZib838ed6a/ZpAGrm/MiiTK45XTaFWowGMm0m9VmtLs3iwpNKVT+QzSyHb/vD0QQfyYLzhoOQaHGHEp7H5InJXVOreHFVPdPGliQoX4Uyp77Fx01nV7L4vTrNexcf1q1ci6IY0rET9DQTvif4xma2CyGMwOPAmcBuYJUQ4u+SJG0+XOcIRiJMGNIvJREtGInwvap+FGefwrZ9XbR4guQmzUpOqyxQH3DFHjtrfBlFWXYaO3zkOi0pg9ldSzfzl6tOVnNFlHNOGNKPW/62ntvOGcb63R1EJRhdnM2tsegkkGeM9/xji8rnFU8xr6wuFCjO5foWHxaj4OELRxOOSmTZTaqZ48F3alRTw9yJFTR2+IhKkno+xUm8aHmdGt1iMsAff3QSbZ4QrZ4Anf4wz62sV0vLymaGbod9/Iy1W/kMTZldJedsCGFQ7dvKIPbcynrN6CJ/KMqahjaAhBwZrXbJme9CIAdLeAI8MH0U/lCEnS1env93PdPGFqvHePWz3dw+ZRht3qBK76L087M/rMa4P7XmjD8kBw5U9nUxa3wZmxpTTSn+UJQ2byB1RRqLjkrunwE5Dk2TjD8UpSTHwW//VaN+b4iLqkseuPpl2WjzBhNMsUP6ZiQogmjs+UnOudnQ2MHI4iz1uE0dfu59aws3nKU923YHw0igPu/J12SMube0VgNt3iB9XFYWXXQi7b4g9bHaOPH3Jv5czV1+NYAE5HdUedauPaOcx97vrjG0ur4DqOfPV51MiztAnsvKDS+vJRiWErLT271yGkBprsy1VpRtx24x8dt3tiZECs5/YyP3Tx9FuyeQkDT6wn/kCcCjy2v5878bUla0C84bzsPv1mpei6JIjmVhsW+Cs30cUCdJ0g5JkoLAC8DUw3kCl9WsufR3Wc0YDIIRxdnYzEYWLtvGpqZObp8yTHVqJVOqN3X4WbS8jl3tPhYtryMQG1TjIT8gATJsRk3KeXcgzGPv1/HQv2pYt7s9RUG0eYN0+EI8NXMsC6eNYNb4Mn73QV2Ko1RxpNvMBkxGI9e/tJaf//VzVte3HVRmXyiiHuOuqVW8vHq32u7x9+u49+1t7O8KsmDpZm59fROeYISmDj9/+L+d/O6yMZxUmpPgsI+3vV83oZwHpo+irtmddpCXlcAImtq9qn37sffqePz9Otq8QawmoelYj0RRo738oSi7Wr2a7ZIz3w1C9kH84ZN67n1rC7lOC89+vCPBd6Rc/+8+qGN+3P1XzGON7V5OHJCteT6DgEybiUXL63AHw5ptch1WVYko8v/6zU2cVlmQ0D9GAxgNQs2FST7O3k5/gtzlBS41oTVe5jvOHU5Ukrjj3OFqHz/z0Q5C0dTnVes8SrjunIndx22L8YFpytXhp9OnXYnUaIDygoxYjRwjd02tSnmO7/j7JjY2ddA306Z5b+LPVZBhS6COj/dZaPkvVtd3EI5GObuqkDElOdw8eWhCn9hMRv7wST0PvrON+lYvkSg4LCbqmrs0IwVr9nXR7A6yaHn3c7u+sZPnVtbz9BXVTBtbDMjmZ+Xdz3JYNCeC8UriSDvUD4av/YoEKAJ2xX3fDZx8OE/Q4tHO/Wj1yDfWYBAMzHdiMxv40yf13H3+cHW2oURTJc8SlPj2fJe2I18I2XmmZQrJdVnUWU9HzNQUv8xWEtpu+d5QnojZzRUfyKzxZQzq42JPu0+lzrh+UiW//3g7j106Bk8gRB+XlSUHkbmyIIP7p43AZTPT4Q1oPuD1LR7VZ6EMzG3eIAjY1+Xj3gtGUN/iSZixKisNpe+0+mVI3wwevnA0dosBjz/ETWcP5oG4HIY7z5Wp2rWy6xUTiYKXVu9O8fP8+rzhPPFBt1lLCV1WXmR/KMqfV+5Uj58cvFDT7CYSiao+qKH9MvndB3WMH1zAu5v3psglJy7ayYwNsOnqxvvD6ZMh4/tnZHE24UiUN9c1plybYmZR2l4/qZIDXX4WTK2iwxvkoRmjqNvvIRCO8uSHdTx7xUnYLUaeuHQMnmCELLspgZ4H0AzeUPp6xtgBZNnN6rPa0OqTK1emYVi+/JQS7XveL5O7lm5Wn6c//E91wmxeSSb91qA8xhbnqEl4WrLFD6xKO+U8ynkPNqtXnNZ5P5L9c8m5Wp5gRA26USaUyccyxNEaJa+sMm1mzdD9eZMqvpQu5VgWFvva+0iEEDOAsyVJujr2fSYwTpKknye1mwXMAigpKRlbX1+fcqx0WL2zhcuf/U/KzX3+ynGcdEIeILONvr6ukdte30hlgeugfpF4W/aw/hls3tOVYuc/sSSbDm+QDn8kwT674LzhvLuliYq+2Qzu66QrEGHJiu1qPZQh/TL5/cfbuXhcKeV9XNQ2u3ns/Vr199HF2dgtAl9QwhuKYDUa8IXCbNvnYen6Rn5x9hCy7CY2NHamlbkox06WzcTtf99EMCzxo+8MTEnW/MP/7VRnpIrCUkwxNc1ufnf5iZgMcj2T5IHcYjLwyLs1Kb4WZVDvl2Wnf7aNzU1d9IvNLLv8YawmA0ajwGI0EIpE8QWjanb90vWNXHxSiUoTo9zDeZMqGJDrpNMXIsNmom+WlU5/mM9jyZFL18vO3mUbm/jeiEK1T6pLs5h75mD2dvjpn23DG4gQikrkOy14AmGauwJqKd9fvLpBfQ6Wb9nLVacOUk2I+7v8+EKy03zVzjY1AEHJXm/1BAiE5YgeJVIp/hlUzIrKKiIUifD3tY1MG1PCq2sauPLUQbEwaPh0x35+dnoFm5s68YWiLF3fyGUnlzK00MW+zmCCglMcuSA7cZu7/NjNJu5aupHpY0u4M86+/5sfjCDfZWXVzla1z34+oYLF79USDEtc8a1SqoqyVN+PYgI1GuC08nxufGWdWoJg9oRyfp3EhPzCf+pZXd+hyjW8fwaf1bcnlDS4f9pIzqkqxGQyJPB6ZdhM+IIR3IEwJbGM+fiorZ0tHlo9ARpjPF1a76sWlUg6duJ4P0a8fzT+WMMKMzjg7j5n/G9nDe3LO1v2adLJHHAHMBvTR20dDaTzkXwTFMm3gDslSTo79v2XAJIk/SbdPofqbPf4AvxjU3PigD61iu8PL8Bpt6rtwuEom5o6aO4MkO+y4AtFVK4kXzhCq1sOA9zd7sUbjDCkbwZOm5FOXyTGAyTbW8sLXOQ5zCAEA3LtNLb5ZTOMxcTSdbu4/JQT8AYj5DjMHHAH2bavC5PBQFm+E5NR4LKZcJqN2K0Gtjd7aWj1kuuwkGU3E5Ykbnw5kedrWP9MOnwh8pxWfMEQjW0+HFYTO1u8mAwGKgpcmE0Co8FAMBxl1Y5mzqoqwhuM4AtGcFgMGAwGtjR1YhByHfN9nQEybGaMBkEgHKE0z0GG1czeTj+BcJTH3qth5sklFOU68QQjMiNuppVgJEq+y0okCq3eAAJBe2ymtrfLDwiWrtvFJSefQDQaJcNqxhcKk2U3E5Fgf1eA4hw7TR1+mtp9HIjldTgtRopy7PwijgtKWQ30j4Wh9s20kesws/2ABykK7mA4IchA4fwKRqKMHpDNE+/XqgPcvDMr5QJhmRZ27vfGwl+9nNDHRd8MK55ghMIsG5EoNHf5cZiNdAVCmI1G+mZaKc528EFts+r7clqMlPVxsmO/R1UuyQr7/mkjKcq20+kPkeeyEApL+EJhWjwhnl/5BVd8uwykKAWZ8so122Hh33X7GFvWhzZPCKfFyO42L/1z7JxeUUBDm/egM1klvPT3H2/nyu+UEYpKFGRYKcyyUZztSNi/JCf1u9YAmTxwVpdm8bMzKli7q11VfrMnDk4hiVSUwOGaeccfr1+mfJ/2u7+8L5Kvx2ISXPe/n6vbHrv0RE7Ic2keK901HO5rO5z4JisSE1ADTAQagVXApZIkbUq3z6EqEpCVyaa9bvZ1BuibaWV4P1eCEukJtB4QgF1tHvZ1BDjgCVCUZWd4/6wEzp6DPViK8trb4adflo3hhQfftyTHQX2rl4ZWDw6LiYIMK0LA3s7EAaDVE8BsMNDqDeKwmOiXZSUc6X65+mfY2Li3U6WCqOqXyZ4uP81dfvpm2OiK5cb0RKaevCiHuk80KtHQ6mFfZwBvUJ6NluYe/NqTX+QWj6zIDrgD5DktOCxGOv1h+mbaKM6ys2VfJ00dfpxWE7kOM4P7ZmIwiK88CGjdq93tXvUaBuY5iUoHH+AO1lfxM/CvOrPtzSDX04EzWQkdTwNpPNK9z8erEjgc+MYqEgAhxDnAI8jhv7+XJOmeg7X/KopEhw4dOv7b8Y0N/wWQJOkt4K1jLYcOHTp0/DfimxD+q0OHDh06jiF0RaJDhw4dOnoFXZHo0KFDh45eQVckOnTo0KGjV/hGRG0dKoQQ+4GeZyQmIh84cBjFOZr4usquy3308XWVXZf7yKJUkqQ+yRv/KxVJbyCEWK0V/vZ1wNdVdl3uo4+vq+y63McGumlLhw4dOnT0Croi0aFDhw4dvYKuSA4dS461AL3A11V2Xe6jj6+r7LrcxwC6j0SHDh06dPQK+opEhw4dOnT0Croi0aFDhw4dvYKuSOIghJgshNgmhKgTQtyi8bsQQiyK/b5eCDGmp/sex3LvFEJsEEKsFUIcVUrkHsg9RAixUggREELceCj7Hmn0Uvbjuc8viz0j64UQnwghRvV03+NY7mPW37Hzf5nsU2NyrxVCrBZCnNrTfY8bSJKkf2Q/kRHYDpQBFmAdMCypzTnA24AATgE+7em+x6Pcsd92AvnHaX8XACcB9wA3Hsq+x6vsX4M+/zaQE/v/e1+jZ1xT7mPZ34cgu4tuf/VIYOux7vND/egrkm6MA+okSdohSVIQeAGYmtRmKvCcJOPfQLYQorCH+x6Pch9LfKnckiQ1S5K0Cggd6r5HGL2R/ViiJ3J/IklSW+zrv4Hinu57nMp9rNET2d1STHMATkDq6b7HC3RF0o0iYFfc992xbT1p05N9jxR6IzfID+07QojPYnXtjxZ602fHsr8Px/m/Ln1+FfJK9qvsezjRG7nh2PU39FB2IcQFQoitwD+AKw9l3+MB34jCVocJWvUwk2Oj07Xpyb5HCr2RG+A7kiTtEUIUAP8SQmyVJGnFYZVQG73ps2PZ34fj/Md9nwshzkAekBV7/fH+jMsNU+WGY9ff0EPZJUl6DXhNCDEeuAuY1NN9jwfoK5Ju7AYGxH0vBvb0sE1P9j1S6I3cSJKk/G0GXkNeTh8N9KbPjmV/9/r8x3ufCyFGAs8AUyVJajmUfY8QeiP3sexvOMR+iym4QUKI/EPd95jiWDtpjpcP8upsB3AC3Y6t4Ultvk+i0/o/Pd33OJXbCWTE/f8JMPl4kTuu7Z0kOtuPWX8fBtmP6z4HSoA64Ntf9ZqPM7mPWX8fguzldDvbxwCNsXf1mD7nh3Sdx1qA4+mDHN1UgxwpcWts2zXANbH/BfB47PcNQPXB9j3e5UaOBlkX+2w6DuXuhzwr6wTaY/9nHuv+7o3sX4M+fwZoA9bGPqu/Js+4ptzHur97KPvNMdnWAiuBU4+HPj+Uj06RokOHDh06egXdR6JDhw4dOnoFXZHo0KFDh45eQVckOnTo0KGjV9AViQ4dOnTo6BV0RaJDhw4dOnoFXZHo0KFDh45eQVckOnTEIIRwx/4OFEJcegTPc7oQYmXSNpMQYp8QolAI8ZYQIvsg+z8jhBgWL7NGmwVCiEmx/z8QQlTH/n9LCJEd+/zssF2Ujv9q6IpEh45UDASOmCIBVgDFQoiBcdsmARslSWqSJOkcSZLa0+0sSdLVkiRtPtgJJEm6XZKkdzW2K8fOBnRFouOwQFckOnSk4j7gtFihoeuFEEYhxANCiFWxAkQ/AXVl8aEQ4iUhRI0Q4r5YgaX/xAopDdI6uCRJUeBl4KK4zRcDf40dd6cQIl8I4RRC/EMIsU4IsVEIcVHsd3WFEfv+WyHEGiHEciFEn9i2PwohpiefWzl27BoHxa7xASHE80KIqXHt/iKEOK+X/ajjvwS6ItGhIxW3AB9JkjRakqSHkdlkOyRJOgm5WNWPhRAnxNqOAuYAI4CZQKUkSeOQKTt+fpBz/BVZeSCEsCJTYbya1GYysEeSpFGSJFUByzSO4wTWSJI0BvgQuOMQrnF77Bpvisn7o5g8WciFot7q4bF0/JdDVyQ6dHw5zgKuEEKsBT4F8oCK2G+rYuaoADIf0jux7RuQTWSakOSiVy4hxGDkin7/lroLMynYAEwSQiwUQpwmSVKHxqGiwIux//9MIn16jyFJ0odAeYxq/RLgVUmSwl/lWDr++6DXI9Gh48shgJ9LkvTPhI1CnA4E4jZF475H+fL36wXkVclQYmateEiSVCOEGIu8WvmNEOIdSZIWfMkxe0Oe9zxwWUymK7+krQ4dKvQViQ4dqegCMuK+/xP4qRDCDCCEqBRCOA/Def4KXA5MAP6e/KMQoj/glSTpz8CDyBTjyTAAii/kUuDjHp47+RoB/gjMBZAkaVMPj6NDh74i0aFDA+uBsBBiHfLg+iiymWqNEEIA+4Hze3sSSZI2CyG8wGeSJHk0mowAHhBCRJFrv/9Uo40HGC6E+AzoINGBf7Bztwgh/k8IsRF4W5KkmyRJ2ieE2AK8/lWuR8d/L3QaeR06dAAghHAg+2XGpPHH6NChCd20pUOHDmLJi1uBxboS0XGo0FckOnQcQQghbgVmJG1+WZKke46FPDp0HAnoikSHDh06dPQKumlLhw4dOnT0Croi0aFDhw4dvYKuSHTo0KFDR6+gKxIdOnTo0NEr/D9L039Q6swHzwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='Item_Visibility',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "eb027e11",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_MRP', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.regplot(x='Item_MRP',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "2ee95d66",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Outlet_Identifier', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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p6d9LEhUAYETp78o3VBmDS6VSuv322yVJt99+O2MtQmC2tPDoPhoN9VabwiRRfe7eI+mDkr7t7p+RdFhpwgIAjCRjx47NW8bgGGsRHbOlhceshtFQb7UpTBLVbWYflZSQ9OtgW2PxQwIAjDSHHZZ9zW3KlCkxRVJdGGsRDbOlRXfqqaeqqalJp512WtyhVBVmg6w9YZKosyWdIGmZuz9lZkdK+rfShAUAGEk6Ojqyyo8//nhMkVQXxlpEQwtedLfeeqv27t2rVatWxR1KVWE2yNpTcBLl7pskfV7SA0H5KXf/WqkCAwCg1jHWIhpa8KKhBQ8oXJjZ+U6VtEHSb4LycWbGZQoAAEqEsRbR0IIXDS14QOHCdOe7XNJcSTslyd03KD1DXyRm9hkze9TMHjGzn5rZaDObYGbtZrY5+PfgjOd/0cw6zOyPZrYwY/tsM3s4eGy59V+yAwBgBGCsRXi04EVDCx5QuDBJVI+7v5SzzaMc1MymSLpQ0hx3P1ZSvaSzJH1B0jp3nyFpXVCWmR0TPP42SYskfdfM6oOXu1bSuZJmBLdFUWICAKASMdYiPFrwoqEFLzqm1K89YZKoR8zsbyTVm9kMM1sh6ffDOHaDpDFm1iCpSdKzkk6X1N92nJT0geD+6ZJudPd97v6UpA5Jc83sMEkHufvdnm5/vj5jHwAAUKNowQuPFrzomFK/9oRJopYo3RK0T9JPJb0s6R+iHNTdn5F0laSnJT0n6SV3XyNpsrs/FzznOUmHBLtMkbQ14yU6g21Tgvu529/AzM41s/Vmtr6rqytK2ADA1UagStCCF15zc7PmzZsnSZo3bx51VyAm5KhNYWbn2+vuX3b3d7n7nOD+q1EOGox1Ol3pMVWHSxprZn+bb5fBQsqz/Y0b3a8L4p4zadKksCEDgCSuNgIAsiWTSfX19UmSent7+X2oEftNoszsVjNbNdQt4nHnS3rK3bvcvVvSLyX9haRtQRc9Bf9uD57fKWlqxv4tSnf/6wzu524HgKLjamN0uXP+MAcQSo1W4/BSqZRuv/12SdLtt99O3RWovb1dPT09kqSenh4m5KgRhbREXSXpm3luUTwt6Xgzawpm0ztF0mOSVknq74CbkHRLcH+VpLPMbFSwyO8MSfcFXf52mdnxwet8PGMfACgqpv+Nrr/ehipjaCQD0axcuVIPPfSQVq5cGXcoVYO/cdGceOKJWeWTTjoppkhQTvtNotz9t/luUQ7q7vdKulnphXsfDuK4TtLXJLWa2WZJrUFZ7v6opJskbVJ6napPu3tv8HLnS/q+0pNNPCGpLUpMlYAfSqCyMf1vdIcddlhW+fDDD48pkupDF9LwUqmU2tvbJUlr1qzhd7VA/I0DChdmsd0ZZnazmW0ysyf7b1EP7O6Xuftb3f1Yd/9YMPPeDnc/xd1nBP++kPH8Ze5+tLu/xd3bMravD17jaHe/wKv48iY/lEBlY/rf6Hp7e7PK/V1fkB9dSKNZuXLlwBiVvr4+WqMK1NraqoaGBklSQ0MDf+MKdNddd2WV77zzzpgiQTmFmZ3vR0qvydQjaZ7S04nfUIqgalEqldJtt90md9dtt93GDyVQgZj+N7rt27fnLWNwdK+KZt26dVnltWvXxhRJdUkkElnJJ3/jCkPyWZvCJFFj3H2dJHP3P7n75ZLeW5qwak8ymRy4Mtvd3c0PJVCBWMAT5Ub3qmj6E4GhykAxcYGtNoVJol41szpJm83sAjP7oF5fxwnDtGbNmoGrje6u1atXxxwRgMGwgGc0dXV1ecsYHF1IoxkzZkzeMgaXTCYHvpt1dXVc0C1Qc3OzpkxJL1N6+OGHc4GtRoT5FfsHSU2SLpQ0W9LH9PpMehimyZMn5y0DQDU7+OCDs8oTJkyIKZLqwhXuaPbs2ZO3jMExVXc0qVRKzz6bXmHn2WefZUhGjQiz2O7/uPtud++UdLGkD7v7PaULrbZs27YtbxlAZWACmGhyTypSqVRMkVQXupBGM23atLxlDI6Wz2gyxy66O78PNaKQxXYvNbO3BvdHmdntSk8lvs3M5pc6wFqR+4dq4cKFMUUCYChMAIM40IU0vEsuuSSrfOmll8YUSXWh5TMaxi7WpkJaov6XpD8G9/u/TZMk/ZWkfy5FULXo1FNPzSqfdtppMUUCYChMAIM4NDc3a8WKFbRChTBz5syB1qdp06Zp+vTp8QZUJWj5jIYWvNpUSBL1WsbaSwsl3ejuve7+mKSG0oVWW2699daBqz9mplWrVsUcEYBcTAADVI8LLrhAdXV1uuiii+IOparQ8hleIpFQ5jKl1F1tKCSJ2mdmx5rZJKXXh8pso2wqTVi1p729PevkjKZgoPIwAQxQPdrb29XX18fFDpRcc3OzRo8eLUkaNWoULXg1opAk6iJJN0v6g6RvuftTkmRmfy3pwRLGVlNYqA2ofEwAA1SHVCql9vZ2SekWZMYvFo7Jc8J7/PHHtXv3bknS7t271dHREXNEKIf9JlHufq+7v9XdJ7r7VzK23+buH+0vmxltl8OQSCTU29sriVXCgUq1YMGCrG63TAADVKaVK1cOLLDb19enlStXxhxRdUilUmpra5O7q62tjeSzQFdeeWVW+YorrogpEpRTMVc7pNNxkWT2qwVQOTJnrjIzLnagLFKplJYsWcIJbQjr1q3LKq9duzamSKpL5lTdfX19tEYVaMuWLXnLGJmKmURZEV+r5qxcuTJrTBRXzQAAEt2rosi9GMnFycIwVXc048aNy1vGyFTMJIq/UMPAVTOg8iWTSdXVpf9s1tXVcVKLkqN7VTRz587NKr/73e+OKZLq0tramtXazvjswvQvfTFUGSMTLVEVgqtmQOVrb28f+HHs6enhKi1Kju5V0XR2dmaVt27dGlMk1eXUU0/N6hXDmpWFOf7447PKJ5xwQkyRoJwKTqLM7Mj9bPtdUSKqUYccckjeMoD4MYsmyo3uVdHkJk0kUYVhzcpocmfj27x5c0yRoJzCtET9YpBtN/ffcfcLhh9O7WLqZKDyMYsmyo3EPZpp06blLWNwrFkZTW7LZ24ZI9N+kygze6uZfVjSm8zsQxm3T0gaXfIIawTd+YDqkNm1Cii1RCKRNVU3iXthLrnkkqzypZdeGlMk1eXEE0/MKp900kkxRVJdpk6dmreMkamQlqi3SHq/pPGSTs24vVPS/ylZZDWmf7D6UGUMjel/US7f+MY3sspXXXVVTJGglvQnUVxcK9yECROyygcffHBMkaAWHH300Vnl6dOnxxQJyqmQxXZvcfezJb3f3c/OuF3o7r8vQ4w1Yf78+Vnl1tbWmCKpPitXrtRDDz3EtPAoubvvvjur/LvfMRQUpZX5d43lLwq3fPnyvGUM7q677soq33nnnTFFUl3uu+++rPK9994bUyQopzDNHTvMbJ2ZPSJJZjbLzC7Z304ozHnnnTcwmLOurk7nnXdezBFVh1Qqpfb2dknSmjVraI0CMKLkLnfR//cO+d1xxx1Z5dtvvz2eQKoMU5xHQzfI2hQmifqepC9K6pYkd98o6axSBFWLmpub1dTUJEkaM2aMJk6cGHNE1WHlypVZ4wW4SotS6v+ODlUGiq1/IpOhykAxMcV5NPv27ctbxsgUJolqcvf7craxmliRPP7449qzZ48kac+ePW+YLhOD4yotyumzn/1sVvnzn/98TJGgVtTX1+ctY3AM9I+GKc6joRtkbQqTRKXM7GhJLklm9hFJz5Ukqhp05ZVXZpWvuOKKmCKpLv1/7IcqA8WU2889d4wUUGyMl43m7LPPzip/6lOfiimS6sIU50DhwiRRn5a0UtJbzewZSf8g6fxSBFWLtmzZkreMwf3lX/5lVjm3XzJQTLR8otwyx8uaGeNlC/TDH/4wq/y9730vpkiqC+uSRZM7BKO5uTmmSFBOBSdR7v6ku8+XNEnSW939L919S8kiqzHjxo3LW8bgRo0albcMFBPjU1Buzc3NAyeyCxcuZLxsgVj8NBrWJYtm+/btWeVt27bFFAnKqWF/TzCzi4fYLkly96uLHFNN6unpyVvG4Abrh/ylL30ppmgAoPiOOeYYrV69Wscee2zcoVQNM8taV4uu3gCKrZCWqAPz3GguKZKFCxdmlRctWhRTJNUld3wAXQ+AytTY2Ji3jKH1r3H0rW99K+ZIqgfdq6JJJpOqq0ufGtbV1SmZTMYcUXUYPXp0VnnMmDExRYJyKmSx3aXuvlTS2v77GdvWlT7E2nDqqadmlZlWtDDUG8qJKc6j6+7uzlvG4NauXTvQbbS3t5f1jgqUSqWyyl1dXTFFUl3a29sHesL09PQwsUSBXn311azyK6+8ElMkKKcwE0usKHAbIvj5z3+eVb7ppptiiqS6UG8op7179+YtA8W2bNmyrDIzt6KUWltbB6bRr6+vp3cHkMd+kygzO8HM/lHSJDO7OON2uSQWrCgSZv2KJvcq2erVq2OKBLVg2rRpectAsTGZSTSsExVNIpHIavlkYonC9HeBHKqMkamQ/+UDlB771KDs8VAvS/pI6UKrLfxQRpM5cHiwMlBMl1xySVb50ksvjSkSAPlcdtllWeWlS5fGFEl1eeGFF7LKL774YkyRVJf+GQ2HKmNk2u/sfO7+W0m/NbMfu/ufyhATAFSkmTNnaurUqdq6daumTp2q6dOnxx0SRrjZs2fr/vvvHyi/613vijEajHRXXnllVvmKK67Q9ddfH1M0QGUL0974YzP7r9xbySIDgArU0tIiie5BKI8vf/nLWWWWcChMbstTbssUBrdly5a8ZQCv229LVIbPZtwfLenDkljMCEDNSKVSuvvuuyVJv//977Vjx46aWvx0+fLl6ujoKNrrXXjhhaGeP3369ND7jAT9ax6x1lHhtm7dmreMwTU0NGStU9nQEOY0sXadfPLJuuOOOwbK8+bNiy8YlE3BLVHufn/G7XfufrGkd5cwNmC/+mcRGqoMFNPKlSvzloFiSyaTA2M93Z11ewqUm3CSgBYmM4EarIzBvf/9788qs9xKbSj4EoOZTcgo1kmaLenQqAc2s/GSvi/pWEku6ZOS/ijpZ5KmSdoi6Ux3fzF4/hclnSOpV9KF7r462D5b0o8ljZF0m6SLvApnF6irq8saiMjMLoWZP39+1ox8uYvvAsWUO/vjb37zm5rqXjWcVqAzzjhD27ZtGyhPnjx5YBFZDG2wGUgvvvjimKKpHscff/xAq7EknXDCCTFGUz1oiYrmmmuuySpfffXV+slPfhJTNCiXMGfq92fc7pb0j0onNVFdI+k37v5WSW+X9JikL0ha5+4zlF7I9wuSZGbHSDpL0tskLZL0XTPrb3K4VtK5kmYEt0XDiCk2b3nLW7LKf/ZnfxZTJNXljDPOyCqfeeaZMUUCIJ/c9Y6++tWvxhRJdcntLlpL3UeHY9SoUXnLGBwtUdHQfbQ2henOd2TGbYa7L3D3/45yUDM7SNJJkn4QvPZr7r5T0umS+vsqJCV9ILh/uqQb3X2fuz8lqUPSXDM7TNJB7n530Pp0fcY+VeUPf/hDVnnTpk0xRVJd/u3f/i2rfMMNN8QUCYB8Zs6cOXBVe/LkycxsWKBnnnkmbxmDu+uuu7LKd955Z0yRVJfclidaooChFZREmdkhZrbUzG42s58H9w8ZxnGPktQl6Udm9qCZfd/Mxkqa7O7PSVLwb/8xpkjKTOs7g21Tgvu526sO6x1F89vf/jarnDmwE0BlOeqoo1RXV0crVAj8NkTD2ovR0BIFFG6/SZSZvUfS/wTF6yX1X/q/L3gsigZJ75R0rbu/Q9IeBV33hgpjkG2eZ/sbX8DsXDNbb2bru7q6wsaLCsUJBsqJLkLD09TUpFmzZtEKBVSoww47LKt8+OGHxxQJUPkKaYn6pqQPuPtl7r7K3W9x98uU7jZ3dcTjdkrqdPd7g/LNSidV24Iuegr+3Z7x/MxFWVokPRtsbxlk+xu4+3XuPsfd50yaNCli2ABq2d///d9nlZcsWRJTJABQfLTgAYUrJIk6yN0fzN3o7hskHRjloO7+vKStZtY/m8IpkjZJWiUpEWxLSLoluL9K0llmNsrMjlR6Aon7gi5/u8zseEvPX/rxjH1QAyZPnpy3DBTTz3/+86zyjTfeGFMkAFB827dvzypnzqgJIFshIwbNzA7un2o8Y+MEhZvdL9cSST8xswMkPSnp7OD1bjKzcyQ9LekMSXL3R83sJqUTrR5Jn3b3/ssj5+v1Kc7bglvVOeigg/Tyyy8PlN/0pjfFGE31yO2aSVdNlFJnZ2feMgAAqA2FJFHfkrTGzD4r6YFg22xJXw8eiyRoyZozyEOnDPH8ZZKWDbJ9vdJrTVW1zARKkl566aWYIqkumWtrDVYGANSe+vr6rK5oLMQOoNj2m0S5+3Vm9qykryi9TpMr3SJ0pbvfWuL4gLz4oQQA5GJsD8rJzLImtkqPMMFIV1B3PHf/tbuf5O4T3b05uJ+VQJnZF0sTIjC03DUsGhsbY4oEAIov98IQF4qAypM7q2FuGSPTcMY05TqjiK9Vc+rq6vKWMbh9+/ZllV999dWYIkEtYCITlBstKkDle+655/KWMTIV80ydtsthYGwPUPmYyASoDrndqehehVJizcraVMwkik8MgBGNix0ot1mzZmWV3/72t8cUSXUZM2ZM3jIADBctURXi5JNPzirPmzcvnkAAABUjt7Uzdx0fDG7v3r15ywAwXMVMon6+/6dgKO94xzuyyrNnz44pkurS1NSUtwwA1YyxFtHw2wCg1ApOoszsSDO72sx+aWar+m/9j7v7P5cmxNpwzTXXZJWvvvrqmCKpLj09PXnLAFDNGNsTDS1RAEqtkMV2+/2HpB9IulUSAwGKjLEW0TQ0NOi1117LKgPASDF27Fjt3r17oDxu3LgYowEA9Atzxvmquy8vWSRABFxtBDCSZSZQkrRr166YIkEtaGpqyvodpRskMLQwSdQ1ZnaZpDWSBhbncfcHih4VAAAAyip3rUXWXgSGFiaJ+nNJH5P0Xr3enc+DMgCMeI2Njeru7s4qA8BIwdACoHBhkqgPSjrK3V/b7zOBMjGzrEXtGHSNUho7dqx27tw5UGZ8CgAAtSnMFOcPSRpfojiASJi5CuWUmUBJ0osvvhhPIAAAIFZhWqImS/qDmf2PssdEnVb0qIACjR49OmsQ7OjRo2OMBgBQCeilAKDUwiRRl5UsCiAiZucDMJLV19ert7c3q4z9y0ygBisDxTRq1Cjt27cvq4yRr+Akyt1/a2ZvljTD3deaWZMk/pojVg0NDVkL7LJOFICRJDOBGqwMIH6ZCdRgZYxMBY+JMrP/I+lmSSuDTVOUXoAXiE1mAjVYGQAAACi2MBNLfFrSeyS9LEnuvlnSIaUICgAASGPGjMlbBgDEI0wStS9zenMza1B6nSgAAFACr7zySt4yACAeYZKo35rZlySNMbNWST+XdGtpwgIAAACAyhQmifqCpC5JD0s6T9Jt7v7lkkQFAAAAABUqzFRmS9z9Gknf699gZhcF2wAAAACgJoRpiUoMsu0TRYoDAAAAAKrCfluizOyjkv5G0pFmtirjoQMl7ShVYAAAAABQiQrpzvd7Sc9Japb0zYztuyRtLEVQAAAAAFCp9ptEufufJP1J0gmlDwcAAAAAKlsh3fl2afD1oEySu/tBRY8KAAAAACpUIS1RB5YjEAAAAACoBmFm5wMAAMAIZWZ5ywBeRxIFAAAAuXveMoDXkUQBAAAAQAgkUQAAAAAQAkkUAAAAAIRAEgUAAAAAIZBEAQAAAEAIsSZRZlZvZg+a2a+D8gQzazezzcG/B2c894tm1mFmfzSzhRnbZ5vZw8Fjy435OAEAAACUUNwtURdJeiyj/AVJ69x9hqR1QVlmdoyksyS9TdIiSd81s/pgn2slnStpRnBbVJ7QAQAAANSi2JIoM2uR9D5J38/YfLqkZHA/KekDGdtvdPd97v6UpA5Jc83sMEkHufvdnl7M4PqMfQAAAACg6OJsifq2pM9J6svYNtndn5Ok4N9Dgu1TJG3NeF5nsG1KcD93OwAAAACURCxJlJm9X9J2d7+/0F0G2eZ5tg92zHPNbL2Zre/q6irwsAAAAACQLa6WqPdIOs3Mtki6UdJ7zezfJG0Luugp+Hd78PxOSVMz9m+R9GywvWWQ7W/g7te5+xx3nzNp0qRivhcAAAAANSSWJMrdv+juLe4+TekJI/7L3f9W0ipJieBpCUm3BPdXSTrLzEaZ2ZFKTyBxX9Dlb5eZHR/MyvfxjH0AAAAAoOga4g4gx9ck3WRm50h6WtIZkuTuj5rZTZI2SeqR9Gl37w32OV/SjyWNkdQW3AAAAACgJGJPotz9Dkl3BPd3SDpliOctk7RskO3rJR1buggBYGRYvny5Ojo6Yjv+5s2bJUkXXnhhLMefPn16bMcGAIwssSdRAIDy6Ojo0KMPP6bxTYfs/8kl0Pdaei6gZ57YUfZj79y7ff9PAgCgQCRRAFBDxjcdonlvPSvuMMru9j/cGHcIAIARhCSqiIrdVSZKtxO6qwAAAAClFediuwAAAABQdWiJKqLhtADNmzdPvb29A+X6+notX768GGEBAAAAKCJaoirEl7/85azypZdeGlMkAAAAAPIhiaoQ8+fPH7hfX1+vefPmxRgNAAAAgKGQRFWQI444QhKtUAAAAEAlY0xUBZkwYYImTJhAKxQAoObFPeMts93Wlrg/bxKfuWpDEoWKUMw/Xvzhwv7weQMAAMNBEgUAACrOcC40XHDBBdq4ceNA+bjjjmPGW+Q1nM/bX//1X2v37t0D5QMPPJDPWw0giUJFiPrHa+3atbriiisGykuXLqU7JPYr6udt/vz5eu211wbKBxxwAD+UQAW6/PLL9aEPfWigfNlll8UYTXnRLa38vv3tb+tTn/rUQPmaa66JMRqUCxNLoKplzmpoZiRQKKl//ud/zip//etfjykSAPk0NzdrzJgxktKtUBMnTow5IoxkM2fOVF1d+pT6wAMP1PTp02OOCOVASxSq3hFHHKGnn35al19+edyhYISbO3fuwP0DDjhAs2fPjjEaAPkcddRR2rJlS021QknD65Z2xhlnaNu2bQPlyZMn09peoOnTp6ujo4NWqBpCSxSq3oQJE3TcccfRCoWyOOqooyTRCgVUusbGRs2YMYNWqBCWLVuWVf7qV78aUyTVp6mpSbNmzaIVqoaQRAFACAcddJCOO+44WqEAjDgzZ85UY2OjpHQrFAkBMDS68wEAUEJxD/SvtUH+GJ4jjzxSHR0dtEIB+0FLFAAAACTRLQ0oFC1RAACU0HBagW644QZ973vfGyiff/75+uhHP1qMsAAAw0BLFAAAFepjH/tYVpkECgAqA0kUAAAV7NBDD5WUboUCAFQGuvMBAFDBDj30UB166KG0QgFABaElCgAAAABCIIkCAAAAgBBIogAAAAAgBJIoAAAAAAiBJAoAAAAAQiCJAgAAAIAQSKIAAAAAIATWicqxfPlydXR0xHLszZs3S5IuvPDCWI4/ffr02I4NAAAwHJzDcQ5XTiRROTo6OvTgw5vU1zSh7Me211ySdP8Tz5f92HV7Xyj7MQEAIxsntZzUllNHR4c2bXpQzZM8hqObJGl71wNlP3Kqy8p+TJBEDaqvaYJePeb9cYdRVqM3/TruEICC1fKJmcTJGapHR0eH/vjIY5p64KFlP3ZjT3rEwt4/vVj2Y2/dVf6LoUhrnuT60IdeizuMsvrlLw+IO4SaRBIFoOp0dHToDxs2qPynZa8PJN25YUMMR5c4NUO1mXrgofrHuWfHHUZZffO+H8UdAoASI4kCUJUOlXSOaq8Lww8URzcVAOVUy63ttLSjWpBEAQAAVJCOjg498sgjGjduXNmP3d3dLUnasmVL2Y+9e/fush8TiIokKkdnZ6fq9r5Uc2OE6vbuUGdnT+T9P/nJT+q5554rYkSFe+WVVyRJixcvjuX4hx12mH74wx9G2ne4Vxs7OzsH3n8cxowZo5aWlsj7R73i2NnZqV2qzVaZ5yTt7uyMtG9nZ6d27NqhXz2wvLhBFai3L31yVl/XWPZj9/S+Ju+M9l2J8++bVN1/4zo7O7Vn166a6962ddfzGtu5J/L+nZ2dco/n71tTU1Msx5Ukd1dnxL9vUrreXn7Zam6MUKrL9Nq+6PU2nHORuM9DpOGdiwyn5ZMkCkWxc+dOvbJnt0bVl/+Pfp2nu3T1vbqr7Mfe12vauXNn5P07Ojr04KMPSuMjvsAeSdFz32Hb3bdbXc90Rdt5Z1FDQQHGjx8f64/dK6+kk6gDRpf/p+cANWj8+PGR9t25c6f27NmjBoun+2j/yfS+vXvLfuwe92H9jQNQ+To6OvTgpsfUO2ly6H3rXtkn647xRETSLu3T813hZ5mu79o2rOPGkkSZ2VRJ1ys9rKFP0nXufo2ZTZD0M0nTJG2RdKa7vxjs80VJ50jqlXShu68Ots+W9GNJYyTdJukiH8blm5aWFm3b11CTs/O1tEQfpt/S0qLmnud0yZzaaoq/cv04jR5GS4wkabzUd3JfUeKpJnV3RF/ru6WlRTtTqZodEzU+4mcuamtCsfRf7Vu+PJ6WsKhaWlrUu+slzZ18cNyhlN19214cVmtzS0uL9va+WJMTSzS1RP+8tLS0qKenR+985zuLGFXle+CBB4b9edvetb0mZ+c7ZNLwzkV6J03Wng9/rEgRVYexv7hhWPtHP4sZnh5J/+jufybpeEmfNrNjJH1B0jp3nyFpXVBW8NhZkt4maZGk75pZffBa10o6V9KM4LaonG8EAAAAQG2JJYly9+fc/YHg/i5Jj0maIul0ScngaUlJHwjuny7pRnff5+5PSeqQNNfMDpN0kLvfHbQ+XZ+xDwAAAAAUXVwtUQPMbJqkd0i6V9Jkd39OSidakg4JnjZF0taM3TqDbVOC+7nbBzvOuWa23szWd3VFHMMBAAAAoObFmkSZ2ThJv5D0D+7+cr6nDrLN82x/40b369x9jrvPmTRpUvhgAQAAAEAxJlFm1qh0AvUTd/9lsHlb0EVPwb/bg+2dkqZm7N4i6dlge8sg2wEAAACgJOKanc8k/UDSY+5+dcZDqyQlJH0t+PeWjO3/bmZXSzpc6Qkk7nP3XjPbZWbHK90d8OOSVpTpbQAAAKCCpLriWSfqpZ3pzlFvGl/+pV5SXaZD6GRVdnGtE/UeSR+T9LCZbQi2fUnp5OkmMztH0tOSzpAkd3/UzG6StEnpmf0+7e69wX7n6/UpztuCGwAAAGrI9OnTYzv2Szs3S5IOmTSj7Mc+ZFK8771WxZJEuft/a/DxTJJ0yhD7LJO0bJDt6yUdW7zoAABAsWzd9by+ed+Pyn7c7XvTi28e0jSh7Mfeuut5vUW1t65Y3PrXoovz2NW2Dh6ii6slCgCG5XmlF54ttx3BvxPLfuS05yWNj+nYQFhxXh3v3pySJDW9ufzJzFt0MC0DwAhHEgWg6sR5ctK1Od1lY/yM8nfZkNIJFCdnqBa0DAAYqUiiBlG39wWN3vTrsh/XXk3P8u6jDyr7sev2viDp0LIfF4iCEzOU267XenTfthdjOfbenvQQ4KaG+rIfe9drPWU/JtJ2796tBx54oOzH3bt3rySpqamp7MfevXt32Y8JREUSlSPOK7ybN++SJM04Oo5k5lCubgPAIOL+27g5aP18c0ytn3G//1oU77lI+vM2bdq0WI7P5w3VgiQqB1e4AQCZ4vxdyDw+vw21g3MRoPLFttguAAAAAFQjkigAAAAACIHufCiap3fX68r148p+3G1709cCJjf1lf3YT++u18yyHxUAAABxIolCUcQ5EPS1YBDs6GnlH3Q9UwyCBQAAqDUkUSgKBsECAACgVjAmCgAAAABCIIkCAAAAgBBIogAAAAAgBJIoAAAAAAiBJAoAAAAAQiCJAgAAAIbh+eef14YNG/TTn/407lBQJiRRAAAAwDA8//zzkqRrr7025khQLqwTBQAAgJq2fPlydXR0RNq3P4Hqd+aZZ+rQQw8N/TrTp0+Pdd1NhENLFAAAABBRbhKVW8bIREsUAITw+OOPa+/evfrc5z6nf/mXf4k7HNSAl19+WU8++aTuv/9+zZ49O+5wqgbfVYQxnBagk0466Q3bli9fPpxwUAVoiQKAEPbu3StJuueee2KOBLXiySeflCR95jOfiTmS6sJ3FUApkUQBQIEuvvjirPLnPve5mCJBrbjvvvuyyvfff39MkVQXvqvRPf3009qwYYO+853vxB0KUNHozgeg5kQdQLxhw4as8j333BOpCwiDh2vLcAas537mPvOZz+i4444L9RrV+nkrZr1F+a5Wa70N1wsvvCBJuummm3TBBRfEHA1QuWiJAgAAgL797W9nlWmNAoZGSxSAmhP16jKDhxEFA9ajod6iKWYL3k033aTHH3889OvUaiseagstUQAAAAAQAi1RFaSrq0vPPPOMVq1apdNOOy3ucFAGnZ2d0ktS3R01eD1jp9TpnXFHAQAjCi14CKuzs1P1L+/S2F/cEHcoZVXftU2d+/ZG3r8Gz9wq1zPPPCNJuuqqq2KOBAAAAMBQaImqEL/61a+yyrRG1YaWlhZ1WZf6Tu6LO5Syq7ujTi1TWuIOAwCAmtbS0qLnu17Qng9/LO5QymrsL25Qy6QJkfcniSqiYg7mvOqqq7R27drQr8NgTgAAAKC06M6Hqvfkk09qw4YN+spXvhJ3KAAAAKgBtEQVEYM54/Hyyy9Lktrb2/VP//RPMUcDAACAkY4kChUhalfIJ598Mqt86qmn6sgjjwz9OnSDBAAAQKFIolDV+luh+r300ksxRQKMfMMZ9ylJmzdvlhS91Z6LHQCASkEShYoQ9cRoRHSD3BnTOlG7g3/Hlf/QkqSdkqbEdGzEYsyYMXGHAAAYRH3XtljWiarb+aIkqW/8wWU/dn3XNonZ+YDqNH369NiO3d8qMGPKjHgCmBLv+0d4tAIBwMgT67nIzh2SpBnDSGYimzRhWO99RCRRZrZI0jWS6iV9392/FnNIQEHiPCntP3bVtdwBAICi4Vwkmqqf4tzM6iX9q6TFko6R9FEzOybeqMKrq6vLWwYAACil0aNH5y0DeN1IaImaK6nD3Z+UJDO7UdLpkjbFGlVIra2tWr169UB5wYIFMUaDajGcgf7DHeQvMdAfKDUzk7tnlbF/kydP1rZt27LKQKmMHTtWe/bsySrXirgnHJLiOxcZCc0dUyRtzSh3qgqHq5933nkDP45mpvPOOy/miKoDLXjRjRkzhoH+IS1cuDCrvGjRopgiQa3IvaCW+xnE4JYtW5ZV/upXvxpTJNWFv3HRLF26NKt85ZVXxhRJ9anmc5GR0BI12GU5f8OTzM6VdK4kHXHEEaWOKbTm5mYtWLBAq1ev1sKFCzVx4sS4Q6oKl1xyia644oqB8mWXXRZjNOVHK1B5nXfeeVktxlzsQKnxmYtm5syZA61RkydPZhKbAiUSCf3nf/6nenp61NjYqEQiEXdIVWHu3LkDrVFjx47V7Nmz4w6pbGr5PGQkXLbvlDQ1o9wi6dncJ7n7de4+x93nTJo0qWzBhXHeeefp7W9/Oz+SIcyfP3+g9amurk7z5s2LOSKMZM3NzQNXahctWsTFDpQcn7noli1bprFjx9IKFUJzc7Pe9773ycz0vve9j89bCEuXLlVdXR2tUDXEMvtaVyMza5D0uKRTJD0j6X8k/Y27PzrUPnPmzPH169eXKUKU2tq1a3XFFVdo6dKlJFEouVQqpaVLl+ryyy/nBANlwWcO5cTnDXidmd3v7nMGfazakyhJMrO/lvRtpac4/6G7L8v3fJIoAAAAAPnkS6JGwpgoufttkm6LOw4AAAAAI99IGBMFAAAAAGVDEgUAAAAAIZBEAQAAAEAIJFEAAAAAEAJJFAAAAACEQBIFAAAAACGQRAEAAABACCRRAAAAABACSRQAAAAAhGDuHncMZWdmXZL+FHccQ2iWlIo7iCpEvUVDvUVDvUVH3UVDvUVDvUVDvUVDvUVTyfX2ZnefNNgDNZlEVTIzW+/uc+KOo9pQb9FQb9FQb9FRd9FQb9FQb9FQb9FQb9FUa73RnQ8AAAAAQiCJAgAAAIAQSKIqz3VxB1ClqLdoqLdoqLfoqLtoqLdoqLdoqLdoqLdoqrLeGBMFAAAAACHQEgUAAAAAIZBEFYGZtZjZLWa22cyeMLNrzOwAM/uEmX0n57l3mNkcM7vXzDaY2dNm1hXc32Bm08xstpk9bGYdZrbczCznNT5iZm5mczK2fd3MHglu/6tc7324ylV3ZnaSmT1gZj1m9pGc1/0XM3vUzB4brL4rUYXUWyI4/mYzS5Tz/UcVd72Z2ZvN7P5g/0fN7O/KXQdRlLHeLjazTWa20czWmdmbg+3zMvbfYGavmtkHYqiKUMpVbxmvMdhvQ2/Ga6wq13sfjgr4nvJ5i/55O8LM1lj693STmU0r09uPrIyft78Ltm8ws/82s2MyXpfvabTzkHjPfd2d2zBukkzSfZLODsr1kn4g6RuSPiHpOznPv0PSnIzyYM+5T9IJwWu3SVqc8diBku6UdE//60h6n6R2SQ2SxkpaL+mguOumkupO0jRJsyRdL+kjGc//C0m/C45dL+luSSfHXTdVUG8TJD0Z/HtwcP/guOumCurtAEmjgvvjJG2RdHjcdVNB9TZPUlNw/3xJPxskngmSXuh/XqXeyllvwWNv+G0Itu+Ouy4qtd6G+p7yeRvW5+0OSa3B/XHUW9bn7aCM55wm6TcZZb6n4X9PYz/3pSVq+N4r6VV3/5EkuXuvpM9I+qSkprAvZmaHKf0huNvTn5LrJX0g4ylfkfQvkl7N2HaMpN+6e4+775H0kKRFEd5LuZWt7tx9i7tvlNSXs5tLGq3g5FZSo6Rtkd5N+VRCvS2U1O7uL7j7i0r/Iav0z1zs9ebur7n7vqA4StXRG6Cc9Xa7u+8NnnqPpJZBXuIjktoynlepKuG3oRrF/j3NweetwM9b0LLS4O7tQQy7qbesz9vLGU8dq/T5R7WqhO9p7Oe+1fADXuneJun+zA3BF+VppbPjsKZI6swodwbbZGbvkDTV3X+ds89DkhabWZOZNSt9NXdqhGOXW9nqbijufrek2yU9F9xWu/tjEY5dTrHXW/D41pD7xK0S6k1mNtXMNipdf19392cjHLuc4qq3c5S+GpnrLEk/jXDccquE3wZJGm1m683snmrokqYK+Z5m4POWVsjnbaaknWb2SzN70My+YWb1EY5dTmX9vJnZp83sCaUT0Asznsf3NPz3NPZz3yhvFNlMg19NMKW7OQ0m39WHwcbjuJnVSfqW0k2g2Q+6rzGzd0n6vaQupbuk9eQ5RqUoS93lDcBsuqQ/0+tXvNvN7CR3vzPffjGLvd4i7hO3Sqg3uftWSbPM7HBJ/2FmN7t7Jbd+lr3ezOxvJc2R9Fc52w+T9OeSVud5/UoR+29D4Ah3f9bMjpL0X2b2sLs/kec4cauI76nE522w5+/n89Yg6URJ71D6ZPpnwfN+kOc4cSvr583d/1XSv5rZ30i6RFIieIjvabjnV8S5Ly1Rw/eo0j/2A8zsIKWz4Qf1xg/TBEmpPK/XqewuLC2SnlW6//Gxku4wsy2Sjpe0qn9Ap7svc/fj3L1V6Q/j5qhvqIzKVXf5fFDSPUG3g91KX/k+fv+hx6oS6q1T2Vd8CtknbpVQbwOCFqhHlT7pqGRlrTczmy/py5JOy+j62O9MSb9y9+4wbyAmlfLb8Gzw75NKj0t4R6R3Uz6V9D3l8/a6Qj5vnZIedPcn3b1H0n9IemfE91MucX3eblRG90i+p9G+p3Gf+5JEDd86SU1m9nFJCpquvynpx5LulfQeMzs0eGyO0uMgtg7+UpK7Pydpl5kdH8xM8nFJt7j7S+7e7O7T3H2a0uMFTnP39WZWb2YTg2PMUnoA3prSvN2iKkvd7SeGpyX9lZk1mFmj0le+K707XyXU22pJC8zsYDM7WNICVf7V2tjrzdKzGY0J7h8s6T2S/jjM91VqZau3oJvQSqX/tm0fZPePqjq6VkmV8dtwsJmNCo7RrPTnbVNp3m7RxP49zcDnLcTnTdL/SDrYzCYFL/Ne8XnL/Ps2I+Op71Nwws/3NPLvafznvl4Bs3xU+03pzPtWpb8QT0haoddn4Dpd0gOSNkj6b0nvzNn3E3rjDCVzJD0SvNZ3pPSiyDnPuUOvz843Wukv3Cal/6AdF3edVFrdSXqX0lc69kjaIenRYHu90idtjwX1d3XcdVIN9RY89klJHcHt7LjrpBrqTVKrpI1K9+XeKOncuOukwuptrdITu2wIbqsy9pkm6RlJdXHXR6XVW85z7tDrvw1/Ienh4PP2sKRz4q6TSqq3ob6nfN6ifd6Ccv/fuIeVPqE+IO56qZR6k3SN0i04G5Qei/22YDvf0/z1NtTvaeznvv0BAgAAAAAKQHc+AAAAAAiBJAoAAAAAQiCJAgAAAIAQSKIAAAAAIASSKAAAAAAIgSQKAAAAAEIgiQIAlE2w4PAtZrbZzJ4ws2vM7ID97POlnPLu/Tx/vJn9/X6eM83MHhnisTuCBSJDM7OTzewvMsp/l7Eg5VvNbIOZPWhmR5vZ76McAwAQP5IoAEBZBCvR/1LSf7j7DEkzJY2TtGw/u35pP4/nGi8pbxJVQicrvXimJMnd/5+7Xx8UPyDpFnd/h7s/4e5/Mcj+g7I0frMBoEI0xB0AAKBmvFfSq+7+I0ly914z+4ykp8zsKUnHuPsFkmRmv5Z0laRFksaY2QalV6r/35kvaGb/V9KZkkZJ+pW7Xybpa5KODvZpd/f/my8oMxsj6UeSjpH0mKQxGY8tkLQ0eP0nJJ3t7rvNbIukpKRTJTVKOkPSq5L+TlKvmf2tpCWSTpG0W9ImSf8QPHaSu88zs93uPm6o92Fm0yS1Sbpd0glKJ2F/2n81AwBKjSQKAFAub5N0f+YGd3/ZzJ7WEL9H7v4FM7vA3Y/LfSxIcGZImivJJK0ys5MkfUHSsYPtM4TzJe1191lmNkvSA8HrN0u6RNJ8d99jZp+XdLGkK4L9Uu7+zqDr4Gfd/VNm9v8k7Xb3q4LXOCV4H7flPlbA+3ha0luUTtzialkDAAyCJAoAUC4myUNs358Fwe3BoDxO6WTk6ZCvc5Kk5ZLk7hvNbGOw/XilW6d+l+6JqAMk3Z2x3y+Df++X9KGwwWfI9z7+5O73DOO1AQAlQBIFACiXRyV9OHODmR0kaaqkl5Q9Tnd0Aa9nkr7q7itzXnNahNiGSu7a3f2jQ+yzL/i3V8P7Pc33PvYM43UBACXCIFUAQLmsk9SUMVtdvaRvSvqxpCclHWdmdWY2Vemubf26zaxxkNdbLemTZtY/rmiKmR0iaZekA0PEdaek/x28xrGSZgXb75H0HjObHjzWZGYz9/NaYY8tDf0+AAAViiQKAFAW7u6SPijpDDPbLOlxpSdj+JKk30l6StLDSk8o8UDGrtdJ2mhmP8l5vTWS/l3S3Wb2sKSbJR3o7juU7oL3iJl9o4DQrpU0LujG9zlJ9wWv3yXpE5J+Gjx2j6S37ue1bpX0wWAq8xMLOPaQ76OQfQEA8bD0bxoAAAAAoBC0RAEAAABACEwsAQAYsczszyXdkLN5n7u/O454AAAjA935AAAAACAEuvMBAAAAQAgkUQAAAAAQAkkUAAAAAIRAEgUAAAAAIZBEAQAAAEAI/x8jb1VidEaHqgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1008x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(14,6))\n",
+    "sns.boxplot(x='Outlet_Identifier',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "90117fa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Outlet_Size', ylabel='Item_Outlet_Sales'>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,6))\n",
+    "sns.boxplot(x='Outlet_Size',y='Item_Outlet_Sales',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "2d9d59dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Item_Outlet_Sales', ylabel='Outlet_Type'>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,6))\n",
+    "sns.scatterplot(y='Outlet_Type',x='Item_Outlet_Sales',hue='Outlet_Size',data=bigmart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "3950f91b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(bigmart.corr())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a1d2f30",
+   "metadata": {},
+   "source": [
+    "Plots Showing the relationship between all factors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "707cfe3c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x181a6e3bb20>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x900 with 30 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "367c060b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x181a829e520>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 20 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "be0bbc58",
+   "metadata": {},
+   "source": [
+    "## Missing value treatment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "ad77f9ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier              0\n",
+       "Item_Weight                  0\n",
+       "Item_Fat_Content             0\n",
+       "Item_Visibility              0\n",
+       "Item_Type                    0\n",
+       "Item_MRP                     0\n",
+       "Outlet_Identifier            0\n",
+       "Outlet_Establishment_Year    0\n",
+       "Outlet_Size                  0\n",
+       "Outlet_Location_Type         0\n",
+       "Outlet_Type                  0\n",
+       "Item_Outlet_Sales            0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "missing_values_count = bigmart.isnull().sum()\n",
+    "missing_values_count[0:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dcc6460f",
+   "metadata": {},
+   "source": [
+    "# Feature Engineering "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e730e96",
+   "metadata": {},
+   "source": [
+    "# Encoding categorial Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "57502e4f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Low Fat', 'Regular', 'low fat', 'LF', 'reg'], dtype=object)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Item_Fat_Content'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "fc403e86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fun(x):\n",
+    "    if x=='Low Fat' or x=='LF' or x=='low fat':\n",
+    "        return(0)\n",
+    "    else:\n",
+    "        return(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "9557c5eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Item_Fat_Content']=bigmart['Item_Fat_Content'].apply(fun)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "70f7edca",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    1\n",
+       "2    0\n",
+       "3    1\n",
+       "4    0\n",
+       "Name: Item_Fat_Content, dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Item_Fat_Content'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "d0a0b841",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Original Categories:\n",
+      "0    9185\n",
+      "1    5019\n",
+      "Name: Item_Fat_Content, dtype: int64\n",
+      "\n",
+      "Modified Categories:\n",
+      "0    9185\n",
+      "1    5019\n",
+      "Name: Item_Fat_Content, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Original Categories:')\n",
+    "print(bigmart['Item_Fat_Content'].value_counts())\n",
+    "\n",
+    "print('\\nModified Categories:')\n",
+    "bigmart['Item_Fat_Content'] = bigmart['Item_Fat_Content'].replace({'LF':'Low Fat',\n",
+    "                                                             'reg':'Regular',\n",
+    "                                                             'low fat':'Low Fat'})\n",
+    "print(bigmart['Item_Fat_Content'].value_counts())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "b45b083c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Dairy', 'Soft Drinks', 'Meat', 'Fruits and Vegetables',\n",
+       "       'Household', 'Baking Goods', 'Snack Foods', 'Frozen Foods',\n",
+       "       'Breakfast', 'Health and Hygiene', 'Hard Drinks', 'Canned',\n",
+       "       'Breads', 'Starchy Foods', 'Others', 'Seafood'], dtype=object)"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Item_Type'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "ce641524",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Medium', 'medium', 'High', 'Small'], dtype=object)"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Size'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "8dcc4534",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fun1(x):\n",
+    "  if x=='Medium':\n",
+    "    return(0)\n",
+    "  elif x=='High':\n",
+    "    return(1)\n",
+    "  else:\n",
+    "    return(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "2b85208f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Outlet_Size']=bigmart['Outlet_Size'].apply(fun1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "4a4f6ddd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    0\n",
+       "2    0\n",
+       "3    2\n",
+       "4    1\n",
+       "Name: Outlet_Size, dtype: int64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Size'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "67b4eb3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Tier 1', 'Tier 3', 'Tier 2'], dtype=object)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Location_Type'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "7bcc1a50",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fun2(x):\n",
+    "  if x=='Tier 1':\n",
+    "    return(0)\n",
+    "  elif x=='Tier 2':\n",
+    "    return(1)\n",
+    "  else:\n",
+    "    return(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "8a4af847",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Outlet_Location_Type']=bigmart['Outlet_Location_Type'].apply(fun2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "3035632a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    2\n",
+       "2    0\n",
+       "3    2\n",
+       "4    2\n",
+       "Name: Outlet_Location_Type, dtype: int64"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Location_Type'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "5a9c4e00",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Supermarket Type1', 'Supermarket Type2', 'Grocery Store',\n",
+       "       'Supermarket Type3'], dtype=object)"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Type'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "61b34a55",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fun3(x):\n",
+    "  if x=='Supermarket Type1':\n",
+    "    return(0)\n",
+    "  elif x=='Supermarket Type2':\n",
+    "    return(1)\n",
+    "  elif x=='Supermarket Type3':\n",
+    "    return(2)\n",
+    "  else:\n",
+    "    return(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "89dfdff0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart['Outlet_Type']=bigmart['Outlet_Type'].apply(fun3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "c7bde593",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    1\n",
+       "2    0\n",
+       "3    3\n",
+       "4    0\n",
+       "Name: Outlet_Type, dtype: int64"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Type'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "9ea0d646",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['OUT049', 'OUT018', 'OUT010', 'OUT013', 'OUT027', 'OUT045',\n",
+       "       'OUT017', 'OUT046', 'OUT035', 'OUT019'], dtype=object)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart['Outlet_Identifier'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "d2042e45",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart1=pd.get_dummies(bigmart['Outlet_Identifier'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "61cdc2ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bigmart=pd.concat([bigmart,bigmart1],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "ae7b738d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Item_Identifier', 'Item_Weight', 'Item_Fat_Content', 'Item_Visibility',\n",
+       "       'Item_Type', 'Item_MRP', 'Outlet_Identifier',\n",
+       "       'Outlet_Establishment_Year', 'Outlet_Size', 'Outlet_Location_Type',\n",
+       "       'Outlet_Type', 'Item_Outlet_Sales', 'OUT010', 'OUT013', 'OUT017',\n",
+       "       'OUT018', 'OUT019', 'OUT027', 'OUT035', 'OUT045', 'OUT046', 'OUT049'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "4f6f2045",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>...</th>\n",
+       "      <th>OUT010</th>\n",
+       "      <th>OUT013</th>\n",
+       "      <th>OUT017</th>\n",
+       "      <th>OUT018</th>\n",
+       "      <th>OUT019</th>\n",
+       "      <th>OUT027</th>\n",
+       "      <th>OUT035</th>\n",
+       "      <th>OUT045</th>\n",
+       "      <th>OUT046</th>\n",
+       "      <th>OUT049</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDA15</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DRC01</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>Soft Drinks</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FDN15</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>Meat</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDX07</td>\n",
+       "      <td>19.20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Fruits and Vegetables</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NCD19</td>\n",
+       "      <td>8.93</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Household</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Item_Identifier  Item_Weight  Item_Fat_Content  Item_Visibility  \\\n",
+       "0           FDA15         9.30                 0         0.016047   \n",
+       "1           DRC01         5.92                 1         0.019278   \n",
+       "2           FDN15        17.50                 0         0.016760   \n",
+       "3           FDX07        19.20                 1         0.000000   \n",
+       "4           NCD19         8.93                 0         0.000000   \n",
+       "\n",
+       "               Item_Type  Item_MRP Outlet_Identifier  \\\n",
+       "0                  Dairy  249.8092            OUT049   \n",
+       "1            Soft Drinks   48.2692            OUT018   \n",
+       "2                   Meat  141.6180            OUT049   \n",
+       "3  Fruits and Vegetables  182.0950            OUT010   \n",
+       "4              Household   53.8614            OUT013   \n",
+       "\n",
+       "   Outlet_Establishment_Year  Outlet_Size  Outlet_Location_Type  ...  OUT010  \\\n",
+       "0                       1999            0                     0  ...       0   \n",
+       "1                       2009            0                     2  ...       0   \n",
+       "2                       1999            0                     0  ...       0   \n",
+       "3                       1998            2                     2  ...       1   \n",
+       "4                       1987            1                     2  ...       0   \n",
+       "\n",
+       "   OUT013  OUT017  OUT018  OUT019  OUT027  OUT035  OUT045  OUT046  OUT049  \n",
+       "0       0       0       0       0       0       0       0       0       1  \n",
+       "1       0       0       1       0       0       0       0       0       0  \n",
+       "2       0       0       0       0       0       0       0       0       1  \n",
+       "3       0       0       0       0       0       0       0       0       0  \n",
+       "4       1       0       0       0       0       0       0       0       0  \n",
+       "\n",
+       "[5 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f318bce",
+   "metadata": {},
+   "source": [
+    "# Label Encoding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "e943ae48",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 14204 entries, 0 to 5680\n",
+      "Data columns (total 22 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   Item_Identifier            14204 non-null  object \n",
+      " 1   Item_Weight                14204 non-null  float64\n",
+      " 2   Item_Fat_Content           14204 non-null  int64  \n",
+      " 3   Item_Visibility            14204 non-null  float64\n",
+      " 4   Item_Type                  14204 non-null  object \n",
+      " 5   Item_MRP                   14204 non-null  float64\n",
+      " 6   Outlet_Identifier          14204 non-null  object \n",
+      " 7   Outlet_Establishment_Year  14204 non-null  int64  \n",
+      " 8   Outlet_Size                14204 non-null  int64  \n",
+      " 9   Outlet_Location_Type       14204 non-null  int64  \n",
+      " 10  Outlet_Type                14204 non-null  int64  \n",
+      " 11  Item_Outlet_Sales          14204 non-null  float64\n",
+      " 12  OUT010                     14204 non-null  uint8  \n",
+      " 13  OUT013                     14204 non-null  uint8  \n",
+      " 14  OUT017                     14204 non-null  uint8  \n",
+      " 15  OUT018                     14204 non-null  uint8  \n",
+      " 16  OUT019                     14204 non-null  uint8  \n",
+      " 17  OUT027                     14204 non-null  uint8  \n",
+      " 18  OUT035                     14204 non-null  uint8  \n",
+      " 19  OUT045                     14204 non-null  uint8  \n",
+      " 20  OUT046                     14204 non-null  uint8  \n",
+      " 21  OUT049                     14204 non-null  uint8  \n",
+      "dtypes: float64(4), int64(5), object(3), uint8(10)\n",
+      "memory usage: 1.5+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "bigmart.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "95131a3a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import LabelEncoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "45f61b33",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>...</th>\n",
+       "      <th>OUT013</th>\n",
+       "      <th>OUT017</th>\n",
+       "      <th>OUT018</th>\n",
+       "      <th>OUT019</th>\n",
+       "      <th>OUT027</th>\n",
+       "      <th>OUT035</th>\n",
+       "      <th>OUT045</th>\n",
+       "      <th>OUT046</th>\n",
+       "      <th>OUT049</th>\n",
+       "      <th>ID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDA15</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DRC01</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>Soft Drinks</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FDN15</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>Meat</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDX07</td>\n",
+       "      <td>19.20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Fruits and Vegetables</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1121</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NCD19</td>\n",
+       "      <td>8.93</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Household</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5676</th>\n",
+       "      <td>FDB58</td>\n",
+       "      <td>10.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.013496</td>\n",
+       "      <td>Snack Foods</td>\n",
+       "      <td>141.3154</td>\n",
+       "      <td>OUT046</td>\n",
+       "      <td>1997</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5677</th>\n",
+       "      <td>FDD47</td>\n",
+       "      <td>7.60</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.142991</td>\n",
+       "      <td>Starchy Foods</td>\n",
+       "      <td>169.1448</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>308</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5678</th>\n",
+       "      <td>NCO17</td>\n",
+       "      <td>10.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.073529</td>\n",
+       "      <td>Health and Hygiene</td>\n",
+       "      <td>118.7440</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5679</th>\n",
+       "      <td>FDJ26</td>\n",
+       "      <td>15.30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>214.6218</td>\n",
+       "      <td>OUT017</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5680</th>\n",
+       "      <td>FDU37</td>\n",
+       "      <td>9.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.104720</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>79.7960</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>997</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14204 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Item_Identifier  Item_Weight  Item_Fat_Content  Item_Visibility  \\\n",
+       "0              FDA15         9.30                 0         0.016047   \n",
+       "1              DRC01         5.92                 1         0.019278   \n",
+       "2              FDN15        17.50                 0         0.016760   \n",
+       "3              FDX07        19.20                 1         0.000000   \n",
+       "4              NCD19         8.93                 0         0.000000   \n",
+       "...              ...          ...               ...              ...   \n",
+       "5676           FDB58        10.50                 1         0.013496   \n",
+       "5677           FDD47         7.60                 1         0.142991   \n",
+       "5678           NCO17        10.00                 0         0.073529   \n",
+       "5679           FDJ26        15.30                 1         0.000000   \n",
+       "5680           FDU37         9.50                 1         0.104720   \n",
+       "\n",
+       "                  Item_Type  Item_MRP Outlet_Identifier  \\\n",
+       "0                     Dairy  249.8092            OUT049   \n",
+       "1               Soft Drinks   48.2692            OUT018   \n",
+       "2                      Meat  141.6180            OUT049   \n",
+       "3     Fruits and Vegetables  182.0950            OUT010   \n",
+       "4                 Household   53.8614            OUT013   \n",
+       "...                     ...       ...               ...   \n",
+       "5676            Snack Foods  141.3154            OUT046   \n",
+       "5677          Starchy Foods  169.1448            OUT018   \n",
+       "5678     Health and Hygiene  118.7440            OUT045   \n",
+       "5679                 Canned  214.6218            OUT017   \n",
+       "5680                 Canned   79.7960            OUT045   \n",
+       "\n",
+       "      Outlet_Establishment_Year  Outlet_Size  Outlet_Location_Type  ...  \\\n",
+       "0                          1999            0                     0  ...   \n",
+       "1                          2009            0                     2  ...   \n",
+       "2                          1999            0                     0  ...   \n",
+       "3                          1998            2                     2  ...   \n",
+       "4                          1987            1                     2  ...   \n",
+       "...                         ...          ...                   ...  ...   \n",
+       "5676                       1997            2                     0  ...   \n",
+       "5677                       2009            0                     2  ...   \n",
+       "5678                       2002            2                     1  ...   \n",
+       "5679                       2007            2                     1  ...   \n",
+       "5680                       2002            2                     1  ...   \n",
+       "\n",
+       "      OUT013  OUT017  OUT018  OUT019  OUT027  OUT035  OUT045  OUT046  OUT049  \\\n",
+       "0          0       0       0       0       0       0       0       0       1   \n",
+       "1          0       0       1       0       0       0       0       0       0   \n",
+       "2          0       0       0       0       0       0       0       0       1   \n",
+       "3          0       0       0       0       0       0       0       0       0   \n",
+       "4          1       0       0       0       0       0       0       0       0   \n",
+       "...      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "5676       0       0       0       0       0       0       0       1       0   \n",
+       "5677       0       0       1       0       0       0       0       0       0   \n",
+       "5678       0       0       0       0       0       0       1       0       0   \n",
+       "5679       0       1       0       0       0       0       0       0       0   \n",
+       "5680       0       0       0       0       0       0       1       0       0   \n",
+       "\n",
+       "        ID  \n",
+       "0      156  \n",
+       "1        8  \n",
+       "2      662  \n",
+       "3     1121  \n",
+       "4     1297  \n",
+       "...    ...  \n",
+       "5676   233  \n",
+       "5677   308  \n",
+       "5678  1426  \n",
+       "5679   521  \n",
+       "5680   997  \n",
+       "\n",
+       "[14204 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labelencoder=LabelEncoder()\n",
+    "bigmart[\"ID\"]= labelencoder.fit_transform(bigmart[\"Item_Identifier\"])\n",
+    "bigmart"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "78296305",
+   "metadata": {},
+   "source": [
+    "# One Hot  Encoding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "9af7e771",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>...</th>\n",
+       "      <th>OUT013</th>\n",
+       "      <th>OUT017</th>\n",
+       "      <th>OUT018</th>\n",
+       "      <th>OUT019</th>\n",
+       "      <th>OUT027</th>\n",
+       "      <th>OUT035</th>\n",
+       "      <th>OUT045</th>\n",
+       "      <th>OUT046</th>\n",
+       "      <th>OUT049</th>\n",
+       "      <th>ID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDA15</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DRC01</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>Soft Drinks</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FDN15</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>Meat</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDX07</td>\n",
+       "      <td>19.20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Fruits and Vegetables</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1121</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NCD19</td>\n",
+       "      <td>8.93</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Household</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5676</th>\n",
+       "      <td>FDB58</td>\n",
+       "      <td>10.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.013496</td>\n",
+       "      <td>Snack Foods</td>\n",
+       "      <td>141.3154</td>\n",
+       "      <td>OUT046</td>\n",
+       "      <td>1997</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5677</th>\n",
+       "      <td>FDD47</td>\n",
+       "      <td>7.60</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.142991</td>\n",
+       "      <td>Starchy Foods</td>\n",
+       "      <td>169.1448</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>308</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5678</th>\n",
+       "      <td>NCO17</td>\n",
+       "      <td>10.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.073529</td>\n",
+       "      <td>Health and Hygiene</td>\n",
+       "      <td>118.7440</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5679</th>\n",
+       "      <td>FDJ26</td>\n",
+       "      <td>15.30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>214.6218</td>\n",
+       "      <td>OUT017</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5680</th>\n",
+       "      <td>FDU37</td>\n",
+       "      <td>9.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.104720</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>79.7960</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>997</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14204 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Item_Identifier  Item_Weight  Item_Fat_Content  Item_Visibility  \\\n",
+       "0              FDA15         9.30                 0         0.016047   \n",
+       "1              DRC01         5.92                 1         0.019278   \n",
+       "2              FDN15        17.50                 0         0.016760   \n",
+       "3              FDX07        19.20                 1         0.000000   \n",
+       "4              NCD19         8.93                 0         0.000000   \n",
+       "...              ...          ...               ...              ...   \n",
+       "5676           FDB58        10.50                 1         0.013496   \n",
+       "5677           FDD47         7.60                 1         0.142991   \n",
+       "5678           NCO17        10.00                 0         0.073529   \n",
+       "5679           FDJ26        15.30                 1         0.000000   \n",
+       "5680           FDU37         9.50                 1         0.104720   \n",
+       "\n",
+       "                  Item_Type  Item_MRP Outlet_Identifier  \\\n",
+       "0                     Dairy  249.8092            OUT049   \n",
+       "1               Soft Drinks   48.2692            OUT018   \n",
+       "2                      Meat  141.6180            OUT049   \n",
+       "3     Fruits and Vegetables  182.0950            OUT010   \n",
+       "4                 Household   53.8614            OUT013   \n",
+       "...                     ...       ...               ...   \n",
+       "5676            Snack Foods  141.3154            OUT046   \n",
+       "5677          Starchy Foods  169.1448            OUT018   \n",
+       "5678     Health and Hygiene  118.7440            OUT045   \n",
+       "5679                 Canned  214.6218            OUT017   \n",
+       "5680                 Canned   79.7960            OUT045   \n",
+       "\n",
+       "      Outlet_Establishment_Year  Outlet_Size  Outlet_Location_Type  ...  \\\n",
+       "0                          1999            0                     0  ...   \n",
+       "1                          2009            0                     2  ...   \n",
+       "2                          1999            0                     0  ...   \n",
+       "3                          1998            2                     2  ...   \n",
+       "4                          1987            1                     2  ...   \n",
+       "...                         ...          ...                   ...  ...   \n",
+       "5676                       1997            2                     0  ...   \n",
+       "5677                       2009            0                     2  ...   \n",
+       "5678                       2002            2                     1  ...   \n",
+       "5679                       2007            2                     1  ...   \n",
+       "5680                       2002            2                     1  ...   \n",
+       "\n",
+       "      OUT013  OUT017  OUT018  OUT019  OUT027  OUT035  OUT045  OUT046  OUT049  \\\n",
+       "0          0       0       0       0       0       0       0       0       1   \n",
+       "1          0       0       1       0       0       0       0       0       0   \n",
+       "2          0       0       0       0       0       0       0       0       1   \n",
+       "3          0       0       0       0       0       0       0       0       0   \n",
+       "4          1       0       0       0       0       0       0       0       0   \n",
+       "...      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "5676       0       0       0       0       0       0       0       1       0   \n",
+       "5677       0       0       1       0       0       0       0       0       0   \n",
+       "5678       0       0       0       0       0       0       1       0       0   \n",
+       "5679       0       1       0       0       0       0       0       0       0   \n",
+       "5680       0       0       0       0       0       0       1       0       0   \n",
+       "\n",
+       "        ID  \n",
+       "0      156  \n",
+       "1        8  \n",
+       "2      662  \n",
+       "3     1121  \n",
+       "4     1297  \n",
+       "...    ...  \n",
+       "5676   233  \n",
+       "5677   308  \n",
+       "5678  1426  \n",
+       "5679   521  \n",
+       "5680   997  \n",
+       "\n",
+       "[14204 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "c1de4081",
+   "metadata": {},
+   "outputs": [
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5678</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5679</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5680</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14204 rows × 1558 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ID_1  ID_2  ID_3  ID_4  ID_5  ID_6  ID_7  ID_8  ID_9  ID_10  ...  \\\n",
+       "0        0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "1        0     0     0     0     0     0     0     1     0      0  ...   \n",
+       "2        0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "3        0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "4        0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "...    ...   ...   ...   ...   ...   ...   ...   ...   ...    ...  ...   \n",
+       "5676     0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "5677     0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "5678     0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "5679     0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "5680     0     0     0     0     0     0     0     0     0      0  ...   \n",
+       "\n",
+       "      ID_1549  ID_1550  ID_1551  ID_1552  ID_1553  ID_1554  ID_1555  ID_1556  \\\n",
+       "0           0        0        0        0        0        0        0        0   \n",
+       "1           0        0        0        0        0        0        0        0   \n",
+       "2           0        0        0        0        0        0        0        0   \n",
+       "3           0        0        0        0        0        0        0        0   \n",
+       "4           0        0        0        0        0        0        0        0   \n",
+       "...       ...      ...      ...      ...      ...      ...      ...      ...   \n",
+       "5676        0        0        0        0        0        0        0        0   \n",
+       "5677        0        0        0        0        0        0        0        0   \n",
+       "5678        0        0        0        0        0        0        0        0   \n",
+       "5679        0        0        0        0        0        0        0        0   \n",
+       "5680        0        0        0        0        0        0        0        0   \n",
+       "\n",
+       "      ID_1557  ID_1558  \n",
+       "0           0        0  \n",
+       "1           0        0  \n",
+       "2           0        0  \n",
+       "3           0        0  \n",
+       "4           0        0  \n",
+       "...       ...      ...  \n",
+       "5676        0        0  \n",
+       "5677        0        0  \n",
+       "5678        0        0  \n",
+       "5679        0        0  \n",
+       "5680        0        0  \n",
+       "\n",
+       "[14204 rows x 1558 columns]"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bmart_ohe_bigmart=pd.get_dummies(bigmart['ID'],prefix='ID',drop_first=True)\n",
+    "bmart_ohe_bigmart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "fff634e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Identifier</th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_Type</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Establishment_Year</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>...</th>\n",
+       "      <th>ID_1549</th>\n",
+       "      <th>ID_1550</th>\n",
+       "      <th>ID_1551</th>\n",
+       "      <th>ID_1552</th>\n",
+       "      <th>ID_1553</th>\n",
+       "      <th>ID_1554</th>\n",
+       "      <th>ID_1555</th>\n",
+       "      <th>ID_1556</th>\n",
+       "      <th>ID_1557</th>\n",
+       "      <th>ID_1558</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FDA15</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>Dairy</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DRC01</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>Soft Drinks</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FDN15</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>Meat</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FDX07</td>\n",
+       "      <td>19.20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Fruits and Vegetables</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NCD19</td>\n",
+       "      <td>8.93</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Household</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5676</th>\n",
+       "      <td>FDB58</td>\n",
+       "      <td>10.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.013496</td>\n",
+       "      <td>Snack Foods</td>\n",
+       "      <td>141.3154</td>\n",
+       "      <td>OUT046</td>\n",
+       "      <td>1997</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5677</th>\n",
+       "      <td>FDD47</td>\n",
+       "      <td>7.60</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.142991</td>\n",
+       "      <td>Starchy Foods</td>\n",
+       "      <td>169.1448</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5678</th>\n",
+       "      <td>NCO17</td>\n",
+       "      <td>10.00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.073529</td>\n",
+       "      <td>Health and Hygiene</td>\n",
+       "      <td>118.7440</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5679</th>\n",
+       "      <td>FDJ26</td>\n",
+       "      <td>15.30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>214.6218</td>\n",
+       "      <td>OUT017</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5680</th>\n",
+       "      <td>FDU37</td>\n",
+       "      <td>9.50</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.104720</td>\n",
+       "      <td>Canned</td>\n",
+       "      <td>79.7960</td>\n",
+       "      <td>OUT045</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14204 rows × 1581 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Item_Identifier  Item_Weight  Item_Fat_Content  Item_Visibility  \\\n",
+       "0              FDA15         9.30                 0         0.016047   \n",
+       "1              DRC01         5.92                 1         0.019278   \n",
+       "2              FDN15        17.50                 0         0.016760   \n",
+       "3              FDX07        19.20                 1         0.000000   \n",
+       "4              NCD19         8.93                 0         0.000000   \n",
+       "...              ...          ...               ...              ...   \n",
+       "5676           FDB58        10.50                 1         0.013496   \n",
+       "5677           FDD47         7.60                 1         0.142991   \n",
+       "5678           NCO17        10.00                 0         0.073529   \n",
+       "5679           FDJ26        15.30                 1         0.000000   \n",
+       "5680           FDU37         9.50                 1         0.104720   \n",
+       "\n",
+       "                  Item_Type  Item_MRP Outlet_Identifier  \\\n",
+       "0                     Dairy  249.8092            OUT049   \n",
+       "1               Soft Drinks   48.2692            OUT018   \n",
+       "2                      Meat  141.6180            OUT049   \n",
+       "3     Fruits and Vegetables  182.0950            OUT010   \n",
+       "4                 Household   53.8614            OUT013   \n",
+       "...                     ...       ...               ...   \n",
+       "5676            Snack Foods  141.3154            OUT046   \n",
+       "5677          Starchy Foods  169.1448            OUT018   \n",
+       "5678     Health and Hygiene  118.7440            OUT045   \n",
+       "5679                 Canned  214.6218            OUT017   \n",
+       "5680                 Canned   79.7960            OUT045   \n",
+       "\n",
+       "      Outlet_Establishment_Year  Outlet_Size  Outlet_Location_Type  ...  \\\n",
+       "0                          1999            0                     0  ...   \n",
+       "1                          2009            0                     2  ...   \n",
+       "2                          1999            0                     0  ...   \n",
+       "3                          1998            2                     2  ...   \n",
+       "4                          1987            1                     2  ...   \n",
+       "...                         ...          ...                   ...  ...   \n",
+       "5676                       1997            2                     0  ...   \n",
+       "5677                       2009            0                     2  ...   \n",
+       "5678                       2002            2                     1  ...   \n",
+       "5679                       2007            2                     1  ...   \n",
+       "5680                       2002            2                     1  ...   \n",
+       "\n",
+       "      ID_1549  ID_1550  ID_1551  ID_1552  ID_1553  ID_1554  ID_1555  ID_1556  \\\n",
+       "0           0        0        0        0        0        0        0        0   \n",
+       "1           0        0        0        0        0        0        0        0   \n",
+       "2           0        0        0        0        0        0        0        0   \n",
+       "3           0        0        0        0        0        0        0        0   \n",
+       "4           0        0        0        0        0        0        0        0   \n",
+       "...       ...      ...      ...      ...      ...      ...      ...      ...   \n",
+       "5676        0        0        0        0        0        0        0        0   \n",
+       "5677        0        0        0        0        0        0        0        0   \n",
+       "5678        0        0        0        0        0        0        0        0   \n",
+       "5679        0        0        0        0        0        0        0        0   \n",
+       "5680        0        0        0        0        0        0        0        0   \n",
+       "\n",
+       "      ID_1557  ID_1558  \n",
+       "0           0        0  \n",
+       "1           0        0  \n",
+       "2           0        0  \n",
+       "3           0        0  \n",
+       "4           0        0  \n",
+       "...       ...      ...  \n",
+       "5676        0        0  \n",
+       "5677        0        0  \n",
+       "5678        0        0  \n",
+       "5679        0        0  \n",
+       "5680        0        0  \n",
+       "\n",
+       "[14204 rows x 1581 columns]"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart=pd.concat([bigmart,bmart_ohe_bigmart],axis=1)\n",
+    "bigmart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "1801d02d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier               object\n",
+       "Item_Weight                  float64\n",
+       "Item_Fat_Content               int64\n",
+       "Item_Visibility              float64\n",
+       "Item_Type                     object\n",
+       "Item_MRP                     float64\n",
+       "Outlet_Identifier             object\n",
+       "Outlet_Establishment_Year      int64\n",
+       "Outlet_Size                    int64\n",
+       "Outlet_Location_Type           int64\n",
+       "Outlet_Type                    int64\n",
+       "Item_Outlet_Sales            float64\n",
+       "OUT010                         uint8\n",
+       "OUT013                         uint8\n",
+       "OUT017                         uint8\n",
+       "OUT018                         uint8\n",
+       "OUT019                         uint8\n",
+       "OUT027                         uint8\n",
+       "OUT035                         uint8\n",
+       "OUT045                         uint8\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.dtypes.head(20)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99d85e83",
+   "metadata": {},
+   "source": [
+    "## Preprocessing Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "d315002e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x=bigmart.drop(['Item_Identifier','Item_Type','Outlet_Establishment_Year','Item_Outlet_Sales'],axis=1)\n",
+    "y=bigmart['Item_Outlet_Sales']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "0ca084ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Item_Weight</th>\n",
+       "      <th>Item_Fat_Content</th>\n",
+       "      <th>Item_Visibility</th>\n",
+       "      <th>Item_MRP</th>\n",
+       "      <th>Outlet_Identifier</th>\n",
+       "      <th>Outlet_Size</th>\n",
+       "      <th>Outlet_Location_Type</th>\n",
+       "      <th>Outlet_Type</th>\n",
+       "      <th>OUT010</th>\n",
+       "      <th>OUT013</th>\n",
+       "      <th>...</th>\n",
+       "      <th>ID_1549</th>\n",
+       "      <th>ID_1550</th>\n",
+       "      <th>ID_1551</th>\n",
+       "      <th>ID_1552</th>\n",
+       "      <th>ID_1553</th>\n",
+       "      <th>ID_1554</th>\n",
+       "      <th>ID_1555</th>\n",
+       "      <th>ID_1556</th>\n",
+       "      <th>ID_1557</th>\n",
+       "      <th>ID_1558</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016047</td>\n",
+       "      <td>249.8092</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.019278</td>\n",
+       "      <td>48.2692</td>\n",
+       "      <td>OUT018</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.016760</td>\n",
+       "      <td>141.6180</td>\n",
+       "      <td>OUT049</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>19.20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>182.0950</td>\n",
+       "      <td>OUT010</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>8.93</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>53.8614</td>\n",
+       "      <td>OUT013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 1577 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Item_Weight  Item_Fat_Content  Item_Visibility  Item_MRP Outlet_Identifier  \\\n",
+       "0         9.30                 0         0.016047  249.8092            OUT049   \n",
+       "1         5.92                 1         0.019278   48.2692            OUT018   \n",
+       "2        17.50                 0         0.016760  141.6180            OUT049   \n",
+       "3        19.20                 1         0.000000  182.0950            OUT010   \n",
+       "4         8.93                 0         0.000000   53.8614            OUT013   \n",
+       "\n",
+       "   Outlet_Size  Outlet_Location_Type  Outlet_Type  OUT010  OUT013  ...  \\\n",
+       "0            0                     0            0       0       0  ...   \n",
+       "1            0                     2            1       0       0  ...   \n",
+       "2            0                     0            0       0       0  ...   \n",
+       "3            2                     2            3       1       0  ...   \n",
+       "4            1                     2            0       0       1  ...   \n",
+       "\n",
+       "   ID_1549  ID_1550  ID_1551  ID_1552  ID_1553  ID_1554  ID_1555  ID_1556  \\\n",
+       "0        0        0        0        0        0        0        0        0   \n",
+       "1        0        0        0        0        0        0        0        0   \n",
+       "2        0        0        0        0        0        0        0        0   \n",
+       "3        0        0        0        0        0        0        0        0   \n",
+       "4        0        0        0        0        0        0        0        0   \n",
+       "\n",
+       "   ID_1557  ID_1558  \n",
+       "0        0        0  \n",
+       "1        0        0  \n",
+       "2        0        0  \n",
+       "3        0        0  \n",
+       "4        0        0  \n",
+       "\n",
+       "[5 rows x 1577 columns]"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "249edea5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    3735.1380\n",
+       "1     443.4228\n",
+       "2    2097.2700\n",
+       "3     732.3800\n",
+       "4     994.7052\n",
+       "Name: Item_Outlet_Sales, dtype: float64"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "2609bf28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import mean_squared_error,mean_absolute_error,accuracy_score,classification_report,confusion_matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "36b2466b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2,random_state= 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "216d6f5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      Item_Weight  Item_Fat_Content  Item_Visibility  Item_MRP  \\\n",
+      "8129    10.895000                 0         0.035741  131.9284   \n",
+      "5012     9.500000                 1         0.035350  169.7448   \n",
+      "4897    15.100000                 0         0.095079  159.6604   \n",
+      "2458    13.000000                 1         0.083644  196.0426   \n",
+      "6279    12.792854                 1         0.102422  131.4968   \n",
+      "...           ...               ...              ...       ...   \n",
+      "905     17.850000                 0         0.065810  149.1050   \n",
+      "5192     9.600000                 0         0.049618   44.2086   \n",
+      "3649     9.000000                 0         0.065249  177.0370   \n",
+      "235     12.792854                 0         0.043574  192.8846   \n",
+      "4826     9.395000                 0         0.040043   84.9908   \n",
+      "\n",
+      "     Outlet_Identifier  Outlet_Size  Outlet_Location_Type  Outlet_Type  \\\n",
+      "8129            OUT035            2                     1            0   \n",
+      "5012            OUT017            2                     1            0   \n",
+      "4897            OUT013            1                     2            0   \n",
+      "2458            OUT049            0                     0            0   \n",
+      "6279            OUT027            0                     2            2   \n",
+      "...                ...          ...                   ...          ...   \n",
+      "905             OUT046            2                     0            0   \n",
+      "5192            OUT010            2                     2            3   \n",
+      "3649            OUT046            2                     0            0   \n",
+      "235             OUT027            0                     2            2   \n",
+      "4826            OUT045            2                     1            0   \n",
+      "\n",
+      "      OUT010  OUT013  ...  ID_1549  ID_1550  ID_1551  ID_1552  ID_1553  \\\n",
+      "8129       0       0  ...        0        0        0        0        0   \n",
+      "5012       0       0  ...        0        0        0        0        0   \n",
+      "4897       0       1  ...        0        0        0        0        0   \n",
+      "2458       0       0  ...        0        0        0        0        0   \n",
+      "6279       0       0  ...        0        0        0        0        0   \n",
+      "...      ...     ...  ...      ...      ...      ...      ...      ...   \n",
+      "905        0       0  ...        0        0        0        0        0   \n",
+      "5192       1       0  ...        0        0        0        0        0   \n",
+      "3649       0       0  ...        0        0        0        0        0   \n",
+      "235        0       0  ...        0        0        0        0        0   \n",
+      "4826       0       0  ...        0        0        0        0        0   \n",
+      "\n",
+      "      ID_1554  ID_1555  ID_1556  ID_1557  ID_1558  \n",
+      "8129        0        0        0        0        0  \n",
+      "5012        0        0        0        0        0  \n",
+      "4897        0        0        0        0        0  \n",
+      "2458        0        0        0        0        0  \n",
+      "6279        0        0        0        0        0  \n",
+      "...       ...      ...      ...      ...      ...  \n",
+      "905         0        0        0        0        0  \n",
+      "5192        0        0        0        0        0  \n",
+      "3649        0        0        0        0        0  \n",
+      "235         0        0        0        0        0  \n",
+      "4826        0        0        0        0        0  \n",
+      "\n",
+      "[11363 rows x 1577 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(x_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "8ec30753",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8129     659.142000\n",
+      "5012    3579.340800\n",
+      "4897    2181.288914\n",
+      "2458    2570.653800\n",
+      "6279    1565.961600\n",
+      "           ...     \n",
+      "905     2247.075000\n",
+      "5192      44.608600\n",
+      "3649    2181.288914\n",
+      "235     2293.015200\n",
+      "4826    2181.288914\n",
+      "Name: Item_Outlet_Sales, Length: 11363, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "2b9f9a27",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      Item_Weight  Item_Fat_Content  Item_Visibility  Item_MRP  \\\n",
+      "1013       16.000                 1         0.065064   76.2986   \n",
+      "6087       19.000                 0         0.128350  106.5622   \n",
+      "4360       18.250                 0         0.077710  259.6962   \n",
+      "7782       13.100                 1         0.044192  180.3318   \n",
+      "5157       11.000                 1         0.222858  218.9798   \n",
+      "...           ...               ...              ...       ...   \n",
+      "395        16.250                 1         0.048976  151.0682   \n",
+      "3358       10.800                 0         0.041931  188.0214   \n",
+      "535        12.850                 0         0.033408  195.0768   \n",
+      "7920        6.710                 0         0.000000  218.9166   \n",
+      "1713        6.195                 1         0.109354  120.4098   \n",
+      "\n",
+      "     Outlet_Identifier  Outlet_Size  Outlet_Location_Type  Outlet_Type  \\\n",
+      "1013            OUT046            2                     0            0   \n",
+      "6087            OUT045            2                     1            0   \n",
+      "4360            OUT035            2                     1            0   \n",
+      "7782            OUT046            2                     0            0   \n",
+      "5157            OUT010            2                     2            3   \n",
+      "...                ...          ...                   ...          ...   \n",
+      "395             OUT046            2                     0            0   \n",
+      "3358            OUT049            0                     0            0   \n",
+      "535             OUT017            2                     1            0   \n",
+      "7920            OUT013            1                     2            0   \n",
+      "1713            OUT035            2                     1            0   \n",
+      "\n",
+      "      OUT010  OUT013  ...  ID_1549  ID_1550  ID_1551  ID_1552  ID_1553  \\\n",
+      "1013       0       0  ...        0        0        0        0        0   \n",
+      "6087       0       0  ...        0        0        0        0        0   \n",
+      "4360       0       0  ...        0        0        0        0        0   \n",
+      "7782       0       0  ...        0        0        0        0        0   \n",
+      "5157       1       0  ...        0        0        0        0        0   \n",
+      "...      ...     ...  ...      ...      ...      ...      ...      ...   \n",
+      "395        0       0  ...        0        0        0        0        0   \n",
+      "3358       0       0  ...        0        0        0        0        0   \n",
+      "535        0       0  ...        0        0        0        0        0   \n",
+      "7920       0       1  ...        0        0        0        0        0   \n",
+      "1713       0       0  ...        0        0        0        0        0   \n",
+      "\n",
+      "      ID_1554  ID_1555  ID_1556  ID_1557  ID_1558  \n",
+      "1013        0        0        0        0        0  \n",
+      "6087        0        0        0        0        0  \n",
+      "4360        0        0        0        0        0  \n",
+      "7782        0        0        0        0        0  \n",
+      "5157        0        0        0        0        0  \n",
+      "...       ...      ...      ...      ...      ...  \n",
+      "395         0        0        0        0        0  \n",
+      "3358        0        0        0        0        0  \n",
+      "535         0        0        0        0        0  \n",
+      "7920        0        0        0        0        0  \n",
+      "1713        0        0        0        0        0  \n",
+      "\n",
+      "[2841 rows x 1577 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(x_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "e353316d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1013    2181.288914\n",
+      "6087    1482.070800\n",
+      "4360    5438.920200\n",
+      "7782    2345.613400\n",
+      "5157    2181.288914\n",
+      "           ...     \n",
+      "395     2181.288914\n",
+      "3358    2181.288914\n",
+      "535     2181.288914\n",
+      "7920    2394.882600\n",
+      "1713    2181.288914\n",
+      "Name: Item_Outlet_Sales, Length: 2841, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "0321f2da",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Item_Identifier               object\n",
+       "Item_Weight                  float64\n",
+       "Item_Fat_Content               int64\n",
+       "Item_Visibility              float64\n",
+       "Item_Type                     object\n",
+       "Item_MRP                     float64\n",
+       "Outlet_Identifier             object\n",
+       "Outlet_Establishment_Year      int64\n",
+       "Outlet_Size                    int64\n",
+       "Outlet_Location_Type           int64\n",
+       "Outlet_Type                    int64\n",
+       "Item_Outlet_Sales            float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bigmart.dtypes.head(12)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "3065c062",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train.to_csv(\"train_modified.csv\",index=False)\n",
+    "test.to_csv(\"test_modified.csv\",index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad80e043",
+   "metadata": {},
+   "source": [
+    "# Modeling"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "81ff6ec4",
+   "metadata": {},
+   "source": [
+    "## Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "070d49a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LinearRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "e3aa64d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lrm=LinearRegression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "ec996181",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'OUT035'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [82]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mlrm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43my_train\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\linear_model\\_base.py:662\u001b[0m, in \u001b[0;36mLinearRegression.fit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    658\u001b[0m n_jobs_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_jobs\n\u001b[0;32m    660\u001b[0m accept_sparse \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpositive \u001b[38;5;28;01melse\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcsr\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcsc\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcoo\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m--> 662\u001b[0m X, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    663\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_sparse\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_numeric\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmulti_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[0;32m    664\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    666\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sample_weight \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    667\u001b[0m     sample_weight \u001b[38;5;241m=\u001b[39m _check_sample_weight(sample_weight, X, dtype\u001b[38;5;241m=\u001b[39mX\u001b[38;5;241m.\u001b[39mdtype)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:581\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    579\u001b[0m         y \u001b[38;5;241m=\u001b[39m check_array(y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_y_params)\n\u001b[0;32m    580\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 581\u001b[0m         X, y \u001b[38;5;241m=\u001b[39m check_X_y(X, y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n\u001b[0;32m    582\u001b[0m     out \u001b[38;5;241m=\u001b[39m X, y\n\u001b[0;32m    584\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m check_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensure_2d\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mTrue\u001b[39;00m):\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:964\u001b[0m, in \u001b[0;36mcheck_X_y\u001b[1;34m(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)\u001b[0m\n\u001b[0;32m    961\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    962\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my cannot be None\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 964\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_array\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    965\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    966\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    967\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_large_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_large_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    968\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    969\u001b[0m \u001b[43m    \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    970\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    971\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforce_all_finite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforce_all_finite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    972\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_2d\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_2d\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    973\u001b[0m \u001b[43m    \u001b[49m\u001b[43mallow_nd\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallow_nd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    974\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_samples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_samples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    975\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_features\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_features\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    976\u001b[0m \u001b[43m    \u001b[49m\u001b[43mestimator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    977\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    979\u001b[0m y \u001b[38;5;241m=\u001b[39m _check_y(y, multi_output\u001b[38;5;241m=\u001b[39mmulti_output, y_numeric\u001b[38;5;241m=\u001b[39my_numeric)\n\u001b[0;32m    981\u001b[0m check_consistent_length(X, y)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:746\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    744\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m    745\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    747\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m    748\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    749\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m    750\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\pandas\\core\\generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'OUT035'"
+     ]
+    }
+   ],
+   "source": [
+    "lrm.fit(x_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "d34ee2b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'OUT046'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [83]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m predicted\u001b[38;5;241m=\u001b[39m\u001b[43mlrm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_test\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\linear_model\\_base.py:362\u001b[0m, in \u001b[0;36mLinearModel.predict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    348\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpredict\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m    349\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    350\u001b[0m \u001b[38;5;124;03m    Predict using the linear model.\u001b[39;00m\n\u001b[0;32m    351\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    360\u001b[0m \u001b[38;5;124;03m        Returns predicted values.\u001b[39;00m\n\u001b[0;32m    361\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 362\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_decision_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\linear_model\\_base.py:345\u001b[0m, in \u001b[0;36mLinearModel._decision_function\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    342\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_decision_function\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m    343\u001b[0m     check_is_fitted(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 345\u001b[0m     X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcoo\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m    346\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m safe_sparse_dot(X, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_\u001b[38;5;241m.\u001b[39mT, dense_output\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mintercept_\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:566\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    564\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mValidation should be done on X, y or both.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    565\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m no_val_y:\n\u001b[1;32m--> 566\u001b[0m     X \u001b[38;5;241m=\u001b[39m check_array(X, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n\u001b[0;32m    567\u001b[0m     out \u001b[38;5;241m=\u001b[39m X\n\u001b[0;32m    568\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_y:\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:746\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    744\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m    745\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    747\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m    748\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    749\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m    750\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\pandas\\core\\generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'OUT046'"
+     ]
+    }
+   ],
+   "source": [
+    "predicted=lrm.predict(x_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dbe4c11a",
+   "metadata": {},
+   "source": [
+    "## Regularized Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "6984bf97",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'OUT046'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [84]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSCORE\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[43mlrm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscore\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_test\u001b[49m\u001b[43m,\u001b[49m\u001b[43my_test\u001b[49m\u001b[43m)\u001b[49m)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:705\u001b[0m, in \u001b[0;36mRegressorMixin.score\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    663\u001b[0m \u001b[38;5;124;03m\"\"\"Return the coefficient of determination of the prediction.\u001b[39;00m\n\u001b[0;32m    664\u001b[0m \n\u001b[0;32m    665\u001b[0m \u001b[38;5;124;03mThe coefficient of determination :math:`R^2` is defined as\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    700\u001b[0m \u001b[38;5;124;03m:class:`~sklearn.multioutput.MultiOutputRegressor`).\u001b[39;00m\n\u001b[0;32m    701\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    703\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m r2_score\n\u001b[1;32m--> 705\u001b[0m y_pred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    706\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m r2_score(y, y_pred, sample_weight\u001b[38;5;241m=\u001b[39msample_weight)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\linear_model\\_base.py:362\u001b[0m, in \u001b[0;36mLinearModel.predict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    348\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpredict\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m    349\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    350\u001b[0m \u001b[38;5;124;03m    Predict using the linear model.\u001b[39;00m\n\u001b[0;32m    351\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    360\u001b[0m \u001b[38;5;124;03m        Returns predicted values.\u001b[39;00m\n\u001b[0;32m    361\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 362\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_decision_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\linear_model\\_base.py:345\u001b[0m, in \u001b[0;36mLinearModel._decision_function\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    342\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_decision_function\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m    343\u001b[0m     check_is_fitted(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 345\u001b[0m     X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcoo\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m    346\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m safe_sparse_dot(X, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_\u001b[38;5;241m.\u001b[39mT, dense_output\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mintercept_\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:566\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    564\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mValidation should be done on X, y or both.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    565\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m no_val_y:\n\u001b[1;32m--> 566\u001b[0m     X \u001b[38;5;241m=\u001b[39m check_array(X, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n\u001b[0;32m    567\u001b[0m     out \u001b[38;5;241m=\u001b[39m X\n\u001b[0;32m    568\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_y:\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:746\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    744\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m    745\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    747\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m    748\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    749\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m    750\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\pandas\\core\\generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'OUT046'"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"SCORE\",lrm.score(x_test,y_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "1dd0a810",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'predicted' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [85]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmean absolute error\u001b[39m\u001b[38;5;124m\"\u001b[39m,mean_absolute_error(y_test,\u001b[43mpredicted\u001b[49m))\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'predicted' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"mean absolute error\",mean_absolute_error(y_test,predicted))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d9e7b8c",
+   "metadata": {},
+   "source": [
+    "## Random Forest "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "a976b570",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "7d266c87",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rfg=RandomForestRegressor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "bc35afb2",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'OUT035'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [88]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mrfg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43my_train\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:327\u001b[0m, in \u001b[0;36mBaseForest.fit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    325\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m issparse(y):\n\u001b[0;32m    326\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msparse multilabel-indicator for y is not supported.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 327\u001b[0m X, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    328\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmulti_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mDTYPE\u001b[49m\n\u001b[0;32m    329\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    330\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sample_weight \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    331\u001b[0m     sample_weight \u001b[38;5;241m=\u001b[39m _check_sample_weight(sample_weight, X)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:581\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    579\u001b[0m         y \u001b[38;5;241m=\u001b[39m check_array(y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_y_params)\n\u001b[0;32m    580\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 581\u001b[0m         X, y \u001b[38;5;241m=\u001b[39m check_X_y(X, y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n\u001b[0;32m    582\u001b[0m     out \u001b[38;5;241m=\u001b[39m X, y\n\u001b[0;32m    584\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m check_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensure_2d\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mTrue\u001b[39;00m):\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:964\u001b[0m, in \u001b[0;36mcheck_X_y\u001b[1;34m(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)\u001b[0m\n\u001b[0;32m    961\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    962\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my cannot be None\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 964\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_array\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    965\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    966\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    967\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_large_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maccept_large_sparse\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    968\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    969\u001b[0m \u001b[43m    \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    970\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    971\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforce_all_finite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforce_all_finite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    972\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_2d\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_2d\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    973\u001b[0m \u001b[43m    \u001b[49m\u001b[43mallow_nd\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallow_nd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    974\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_samples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_samples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    975\u001b[0m \u001b[43m    \u001b[49m\u001b[43mensure_min_features\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_min_features\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    976\u001b[0m \u001b[43m    \u001b[49m\u001b[43mestimator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    977\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    979\u001b[0m y \u001b[38;5;241m=\u001b[39m _check_y(y, multi_output\u001b[38;5;241m=\u001b[39mmulti_output, y_numeric\u001b[38;5;241m=\u001b[39my_numeric)\n\u001b[0;32m    981\u001b[0m check_consistent_length(X, y)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:746\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    744\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m    745\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    747\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m    748\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    749\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m    750\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\pandas\\core\\generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'OUT035'"
+     ]
+    }
+   ],
+   "source": [
+    "rfg.fit(x_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "889831e2",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'OUT046'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [89]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m predicted\u001b[38;5;241m=\u001b[39m\u001b[43mrfg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_test\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:971\u001b[0m, in \u001b[0;36mForestRegressor.predict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    969\u001b[0m check_is_fitted(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m    970\u001b[0m \u001b[38;5;66;03m# Check data\u001b[39;00m\n\u001b[1;32m--> 971\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_X_predict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    973\u001b[0m \u001b[38;5;66;03m# Assign chunk of trees to jobs\u001b[39;00m\n\u001b[0;32m    974\u001b[0m n_jobs, _, _ \u001b[38;5;241m=\u001b[39m _partition_estimators(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_estimators, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_jobs)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\ensemble\\_forest.py:579\u001b[0m, in \u001b[0;36mBaseForest._validate_X_predict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    576\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    577\u001b[0m \u001b[38;5;124;03mValidate X whenever one tries to predict, apply, predict_proba.\"\"\"\u001b[39;00m\n\u001b[0;32m    578\u001b[0m check_is_fitted(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 579\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mDTYPE\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m    580\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m issparse(X) \u001b[38;5;129;01mand\u001b[39;00m (X\u001b[38;5;241m.\u001b[39mindices\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m np\u001b[38;5;241m.\u001b[39mintc \u001b[38;5;129;01mor\u001b[39;00m X\u001b[38;5;241m.\u001b[39mindptr\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m np\u001b[38;5;241m.\u001b[39mintc):\n\u001b[0;32m    581\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo support for np.int64 index based sparse matrices\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\base.py:566\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[0;32m    564\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mValidation should be done on X, y or both.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    565\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m no_val_y:\n\u001b[1;32m--> 566\u001b[0m     X \u001b[38;5;241m=\u001b[39m check_array(X, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n\u001b[0;32m    567\u001b[0m     out \u001b[38;5;241m=\u001b[39m X\n\u001b[0;32m    568\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_y:\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\sklearn\\utils\\validation.py:746\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    744\u001b[0m         array \u001b[38;5;241m=\u001b[39m array\u001b[38;5;241m.\u001b[39mastype(dtype, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m\"\u001b[39m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m    745\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    747\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m    748\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    749\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m    750\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\pandas\\core\\generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m   2063\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype: npt\u001b[38;5;241m.\u001b[39mDTypeLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m-> 2064\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'OUT046'"
+     ]
+    }
+   ],
+   "source": [
+    "predicted=rfg.predict(x_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e5c2e0f",
+   "metadata": {},
+   "source": [
+    "## XGBoost"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "e480fe96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numpy import loadtxt\n",
+    "from xgboost import XGBClassifier\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "16d39331",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: 'Item_Identifier'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [91]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m mart \u001b[38;5;241m=\u001b[39m \u001b[43mloadtxt\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTrain.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m,\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m      3\u001b[0m X \u001b[38;5;241m=\u001b[39m dataset[:,\u001b[38;5;241m0\u001b[39m:\u001b[38;5;241m8\u001b[39m]\n\u001b[0;32m      4\u001b[0m Y \u001b[38;5;241m=\u001b[39m dataset[:,\u001b[38;5;241m8\u001b[39m]\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\numpy\\lib\\npyio.py:1148\u001b[0m, in \u001b[0;36mloadtxt\u001b[1;34m(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin, encoding, max_rows, like)\u001b[0m\n\u001b[0;32m   1143\u001b[0m \u001b[38;5;66;03m# read data in chunks and fill it into an array via resize\u001b[39;00m\n\u001b[0;32m   1144\u001b[0m \u001b[38;5;66;03m# over-allocating and shrinking the array later may be faster but is\u001b[39;00m\n\u001b[0;32m   1145\u001b[0m \u001b[38;5;66;03m# probably not relevant compared to the cost of actually reading and\u001b[39;00m\n\u001b[0;32m   1146\u001b[0m \u001b[38;5;66;03m# converting the data\u001b[39;00m\n\u001b[0;32m   1147\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m-> 1148\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m read_data(_loadtxt_chunksize):\n\u001b[0;32m   1149\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m X \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   1150\u001b[0m         X \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(x, dtype)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\numpy\\lib\\npyio.py:999\u001b[0m, in \u001b[0;36mloadtxt.<locals>.read_data\u001b[1;34m(chunk_size)\u001b[0m\n\u001b[0;32m    995\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWrong number of columns at line \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    996\u001b[0m                      \u001b[38;5;241m%\u001b[39m line_num)\n\u001b[0;32m    998\u001b[0m \u001b[38;5;66;03m# Convert each value according to its column and store\u001b[39;00m\n\u001b[1;32m--> 999\u001b[0m items \u001b[38;5;241m=\u001b[39m [conv(val) \u001b[38;5;28;01mfor\u001b[39;00m (conv, val) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(converters, vals)]\n\u001b[0;32m   1001\u001b[0m \u001b[38;5;66;03m# Then pack it according to the dtype's nesting\u001b[39;00m\n\u001b[0;32m   1002\u001b[0m items \u001b[38;5;241m=\u001b[39m pack_items(items, packing)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\numpy\\lib\\npyio.py:999\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    995\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWrong number of columns at line \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    996\u001b[0m                      \u001b[38;5;241m%\u001b[39m line_num)\n\u001b[0;32m    998\u001b[0m \u001b[38;5;66;03m# Convert each value according to its column and store\u001b[39;00m\n\u001b[1;32m--> 999\u001b[0m items \u001b[38;5;241m=\u001b[39m [\u001b[43mconv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (conv, val) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(converters, vals)]\n\u001b[0;32m   1001\u001b[0m \u001b[38;5;66;03m# Then pack it according to the dtype's nesting\u001b[39;00m\n\u001b[0;32m   1002\u001b[0m items \u001b[38;5;241m=\u001b[39m pack_items(items, packing)\n",
+      "File \u001b[1;32mH:\\notebook\\lib\\site-packages\\numpy\\lib\\npyio.py:736\u001b[0m, in \u001b[0;36m_getconv.<locals>.floatconv\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m    734\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m0x\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m x:\n\u001b[0;32m    735\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mfloat\u001b[39m\u001b[38;5;241m.\u001b[39mfromhex(x)\n\u001b[1;32m--> 736\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mfloat\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'Item_Identifier'"
+     ]
+    }
+   ],
+   "source": [
+    "mart = loadtxt('Train.csv', delimiter=\",\")\n",
+    "\n",
+    "X = dataset[:,0:8]\n",
+    "Y = dataset[:,8]\n",
+    "\n",
+    "seed = 7\n",
+    "test_size = 0.33\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=test_size, random_state=seed)\n",
+    "\n",
+    "model = XGBClassifier()\n",
+    "model.fit(X_train, y_train)\n",
+    "\n",
+    "y_pred = model.predict(X_test)\n",
+    "predictions = [round(value) for value in y_pred]\n",
+    "\n",
+    "accuracy = accuracy_score(y_test, predictions)\n",
+    "print(\"Accuracy: %.2f%%\" % (accuracy * 100.0))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "752c5d2c",
+   "metadata": {},
+   "source": [
+    "## Summary "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9f29cadb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}