house_prices_advanced_regression_techniques.ipynb

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      "source": [
        "pip install jovian opendatasets pandas numpy scikit-learn xgboost --quiet"
      ],
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            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/68.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.6/68.6 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for uuid (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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      "execution_count": 7,
      "metadata": {
        "id": "8uQ6cfaVXxeE"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import re\n",
        "from bs4 import BeautifulSoup\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.metrics import mean_squared_error\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import opendatasets as od"
      ],
      "metadata": {
        "id": "AktTJhTeYC2F"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset_url = 'https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview/description'"
      ],
      "metadata": {
        "id": "TJuSP0sJYFBn"
      },
      "execution_count": 10,
      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "od.download(dataset_url)"
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      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds\n",
            "Your Kaggle username: adityaravi2\n",
            "Your Kaggle Key: ··········\n",
            "Downloading house-prices-advanced-regression-techniques.zip to ./house-prices-advanced-regression-techniques\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 199k/199k [00:00<00:00, 80.0MB/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Extracting archive ./house-prices-advanced-regression-techniques/house-prices-advanced-regression-techniques.zip to ./house-prices-advanced-regression-techniques\n"
          ]
        },
        {
          "output_type": "stream",
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          "text": [
            "\n"
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      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"/content/house-prices-advanced-regression-techniques/train.csv\")\n",
        "df.shape"
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              "(1460, 81)"
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              "        Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
              "0        1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
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              "...    ...         ...      ...          ...      ...    ...   ...      ...   \n",
              "1455  1456          60       RL         62.0     7917   Pave   NaN      Reg   \n",
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              "1457  1458          70       RL         66.0     9042   Pave   NaN      Reg   \n",
              "1458  1459          20       RL         68.0     9717   Pave   NaN      Reg   \n",
              "1459  1460          20       RL         75.0     9937   Pave   NaN      Reg   \n",
              "\n",
              "     LandContour Utilities  ... PoolArea PoolQC  Fence MiscFeature MiscVal  \\\n",
              "0            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
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              "1456         Lvl    AllPub  ...        0    NaN  MnPrv         NaN       0   \n",
              "1457         Lvl    AllPub  ...        0    NaN  GdPrv        Shed    2500   \n",
              "1458         Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
              "1459         Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
              "\n",
              "     MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
              "0         2   2008        WD         Normal     208500  \n",
              "1         5   2007        WD         Normal     181500  \n",
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              "3         2   2006        WD        Abnorml     140000  \n",
              "4        12   2008        WD         Normal     250000  \n",
              "...     ...    ...       ...            ...        ...  \n",
              "1455      8   2007        WD         Normal     175000  \n",
              "1456      2   2010        WD         Normal     210000  \n",
              "1457      5   2010        WD         Normal     266500  \n",
              "1458      4   2010        WD         Normal     142125  \n",
              "1459      6   2008        WD         Normal     147500  \n",
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              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-cf4f4c5d-f180-46b9-b631-02cc654390e7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-cf4f4c5d-f180-46b9-b631-02cc654390e7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import random"
      ],
      "metadata": {
        "id": "qDxRy0M_ZSii"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zh-8P9Ysa7Xg",
        "outputId": "77bba810-aefc-4d02-e81e-4e1cfe9ed914"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1460 entries, 0 to 1459\n",
            "Data columns (total 81 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   Id             1460 non-null   int64  \n",
            " 1   MSSubClass     1460 non-null   int64  \n",
            " 2   MSZoning       1460 non-null   object \n",
            " 3   LotFrontage    1201 non-null   float64\n",
            " 4   LotArea        1460 non-null   int64  \n",
            " 5   Street         1460 non-null   object \n",
            " 6   Alley          91 non-null     object \n",
            " 7   LotShape       1460 non-null   object \n",
            " 8   LandContour    1460 non-null   object \n",
            " 9   Utilities      1460 non-null   object \n",
            " 10  LotConfig      1460 non-null   object \n",
            " 11  LandSlope      1460 non-null   object \n",
            " 12  Neighborhood   1460 non-null   object \n",
            " 13  Condition1     1460 non-null   object \n",
            " 14  Condition2     1460 non-null   object \n",
            " 15  BldgType       1460 non-null   object \n",
            " 16  HouseStyle     1460 non-null   object \n",
            " 17  OverallQual    1460 non-null   int64  \n",
            " 18  OverallCond    1460 non-null   int64  \n",
            " 19  YearBuilt      1460 non-null   int64  \n",
            " 20  YearRemodAdd   1460 non-null   int64  \n",
            " 21  RoofStyle      1460 non-null   object \n",
            " 22  RoofMatl       1460 non-null   object \n",
            " 23  Exterior1st    1460 non-null   object \n",
            " 24  Exterior2nd    1460 non-null   object \n",
            " 25  MasVnrType     1452 non-null   object \n",
            " 26  MasVnrArea     1452 non-null   float64\n",
            " 27  ExterQual      1460 non-null   object \n",
            " 28  ExterCond      1460 non-null   object \n",
            " 29  Foundation     1460 non-null   object \n",
            " 30  BsmtQual       1423 non-null   object \n",
            " 31  BsmtCond       1423 non-null   object \n",
            " 32  BsmtExposure   1422 non-null   object \n",
            " 33  BsmtFinType1   1423 non-null   object \n",
            " 34  BsmtFinSF1     1460 non-null   int64  \n",
            " 35  BsmtFinType2   1422 non-null   object \n",
            " 36  BsmtFinSF2     1460 non-null   int64  \n",
            " 37  BsmtUnfSF      1460 non-null   int64  \n",
            " 38  TotalBsmtSF    1460 non-null   int64  \n",
            " 39  Heating        1460 non-null   object \n",
            " 40  HeatingQC      1460 non-null   object \n",
            " 41  CentralAir     1460 non-null   object \n",
            " 42  Electrical     1459 non-null   object \n",
            " 43  1stFlrSF       1460 non-null   int64  \n",
            " 44  2ndFlrSF       1460 non-null   int64  \n",
            " 45  LowQualFinSF   1460 non-null   int64  \n",
            " 46  GrLivArea      1460 non-null   int64  \n",
            " 47  BsmtFullBath   1460 non-null   int64  \n",
            " 48  BsmtHalfBath   1460 non-null   int64  \n",
            " 49  FullBath       1460 non-null   int64  \n",
            " 50  HalfBath       1460 non-null   int64  \n",
            " 51  BedroomAbvGr   1460 non-null   int64  \n",
            " 52  KitchenAbvGr   1460 non-null   int64  \n",
            " 53  KitchenQual    1460 non-null   object \n",
            " 54  TotRmsAbvGrd   1460 non-null   int64  \n",
            " 55  Functional     1460 non-null   object \n",
            " 56  Fireplaces     1460 non-null   int64  \n",
            " 57  FireplaceQu    770 non-null    object \n",
            " 58  GarageType     1379 non-null   object \n",
            " 59  GarageYrBlt    1379 non-null   float64\n",
            " 60  GarageFinish   1379 non-null   object \n",
            " 61  GarageCars     1460 non-null   int64  \n",
            " 62  GarageArea     1460 non-null   int64  \n",
            " 63  GarageQual     1379 non-null   object \n",
            " 64  GarageCond     1379 non-null   object \n",
            " 65  PavedDrive     1460 non-null   object \n",
            " 66  WoodDeckSF     1460 non-null   int64  \n",
            " 67  OpenPorchSF    1460 non-null   int64  \n",
            " 68  EnclosedPorch  1460 non-null   int64  \n",
            " 69  3SsnPorch      1460 non-null   int64  \n",
            " 70  ScreenPorch    1460 non-null   int64  \n",
            " 71  PoolArea       1460 non-null   int64  \n",
            " 72  PoolQC         7 non-null      object \n",
            " 73  Fence          281 non-null    object \n",
            " 74  MiscFeature    54 non-null     object \n",
            " 75  MiscVal        1460 non-null   int64  \n",
            " 76  MoSold         1460 non-null   int64  \n",
            " 77  YrSold         1460 non-null   int64  \n",
            " 78  SaleType       1460 non-null   object \n",
            " 79  SaleCondition  1460 non-null   object \n",
            " 80  SalePrice      1460 non-null   int64  \n",
            "dtypes: float64(3), int64(35), object(43)\n",
            "memory usage: 924.0+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "NcqjUC18ceBU",
        "outputId": "49ccce65-5dcb-45b7-9ed5-244c3c26a763"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                Id   MSSubClass  LotFrontage        LotArea  OverallQual  \\\n",
              "count  1460.000000  1460.000000  1201.000000    1460.000000  1460.000000   \n",
              "mean    730.500000    56.897260    70.049958   10516.828082     6.099315   \n",
              "std     421.610009    42.300571    24.284752    9981.264932     1.382997   \n",
              "min       1.000000    20.000000    21.000000    1300.000000     1.000000   \n",
              "25%     365.750000    20.000000    59.000000    7553.500000     5.000000   \n",
              "50%     730.500000    50.000000    69.000000    9478.500000     6.000000   \n",
              "75%    1095.250000    70.000000    80.000000   11601.500000     7.000000   \n",
              "max    1460.000000   190.000000   313.000000  215245.000000    10.000000   \n",
              "\n",
              "       OverallCond    YearBuilt  YearRemodAdd   MasVnrArea   BsmtFinSF1  ...  \\\n",
              "count  1460.000000  1460.000000   1460.000000  1452.000000  1460.000000  ...   \n",
              "mean      5.575342  1971.267808   1984.865753   103.685262   443.639726  ...   \n",
              "std       1.112799    30.202904     20.645407   181.066207   456.098091  ...   \n",
              "min       1.000000  1872.000000   1950.000000     0.000000     0.000000  ...   \n",
              "25%       5.000000  1954.000000   1967.000000     0.000000     0.000000  ...   \n",
              "50%       5.000000  1973.000000   1994.000000     0.000000   383.500000  ...   \n",
              "75%       6.000000  2000.000000   2004.000000   166.000000   712.250000  ...   \n",
              "max       9.000000  2010.000000   2010.000000  1600.000000  5644.000000  ...   \n",
              "\n",
              "        WoodDeckSF  OpenPorchSF  EnclosedPorch    3SsnPorch  ScreenPorch  \\\n",
              "count  1460.000000  1460.000000    1460.000000  1460.000000  1460.000000   \n",
              "mean     94.244521    46.660274      21.954110     3.409589    15.060959   \n",
              "std     125.338794    66.256028      61.119149    29.317331    55.757415   \n",
              "min       0.000000     0.000000       0.000000     0.000000     0.000000   \n",
              "25%       0.000000     0.000000       0.000000     0.000000     0.000000   \n",
              "50%       0.000000    25.000000       0.000000     0.000000     0.000000   \n",
              "75%     168.000000    68.000000       0.000000     0.000000     0.000000   \n",
              "max     857.000000   547.000000     552.000000   508.000000   480.000000   \n",
              "\n",
              "          PoolArea       MiscVal       MoSold       YrSold      SalePrice  \n",
              "count  1460.000000   1460.000000  1460.000000  1460.000000    1460.000000  \n",
              "mean      2.758904     43.489041     6.321918  2007.815753  180921.195890  \n",
              "std      40.177307    496.123024     2.703626     1.328095   79442.502883  \n",
              "min       0.000000      0.000000     1.000000  2006.000000   34900.000000  \n",
              "25%       0.000000      0.000000     5.000000  2007.000000  129975.000000  \n",
              "50%       0.000000      0.000000     6.000000  2008.000000  163000.000000  \n",
              "75%       0.000000      0.000000     8.000000  2009.000000  214000.000000  \n",
              "max     738.000000  15500.000000    12.000000  2010.000000  755000.000000  \n",
              "\n",
              "[8 rows x 38 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4e69cf38-4454-4ab6-b306-6121a059828e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</th>\n",
              "      <th>MSSubClass</th>\n",
              "      <th>LotFrontage</th>\n",
              "      <th>LotArea</th>\n",
              "      <th>OverallQual</th>\n",
              "      <th>OverallCond</th>\n",
              "      <th>YearBuilt</th>\n",
              "      <th>YearRemodAdd</th>\n",
              "      <th>MasVnrArea</th>\n",
              "      <th>BsmtFinSF1</th>\n",
              "      <th>...</th>\n",
              "      <th>WoodDeckSF</th>\n",
              "      <th>OpenPorchSF</th>\n",
              "      <th>EnclosedPorch</th>\n",
              "      <th>3SsnPorch</th>\n",
              "      <th>ScreenPorch</th>\n",
              "      <th>PoolArea</th>\n",
              "      <th>MiscVal</th>\n",
              "      <th>MoSold</th>\n",
              "      <th>YrSold</th>\n",
              "      <th>SalePrice</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1201.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1452.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "      <td>1460.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>730.500000</td>\n",
              "      <td>56.897260</td>\n",
              "      <td>70.049958</td>\n",
              "      <td>10516.828082</td>\n",
              "      <td>6.099315</td>\n",
              "      <td>5.575342</td>\n",
              "      <td>1971.267808</td>\n",
              "      <td>1984.865753</td>\n",
              "      <td>103.685262</td>\n",
              "      <td>443.639726</td>\n",
              "      <td>...</td>\n",
              "      <td>94.244521</td>\n",
              "      <td>46.660274</td>\n",
              "      <td>21.954110</td>\n",
              "      <td>3.409589</td>\n",
              "      <td>15.060959</td>\n",
              "      <td>2.758904</td>\n",
              "      <td>43.489041</td>\n",
              "      <td>6.321918</td>\n",
              "      <td>2007.815753</td>\n",
              "      <td>180921.195890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>421.610009</td>\n",
              "      <td>42.300571</td>\n",
              "      <td>24.284752</td>\n",
              "      <td>9981.264932</td>\n",
              "      <td>1.382997</td>\n",
              "      <td>1.112799</td>\n",
              "      <td>30.202904</td>\n",
              "      <td>20.645407</td>\n",
              "      <td>181.066207</td>\n",
              "      <td>456.098091</td>\n",
              "      <td>...</td>\n",
              "      <td>125.338794</td>\n",
              "      <td>66.256028</td>\n",
              "      <td>61.119149</td>\n",
              "      <td>29.317331</td>\n",
              "      <td>55.757415</td>\n",
              "      <td>40.177307</td>\n",
              "      <td>496.123024</td>\n",
              "      <td>2.703626</td>\n",
              "      <td>1.328095</td>\n",
              "      <td>79442.502883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>1300.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1872.000000</td>\n",
              "      <td>1950.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2006.000000</td>\n",
              "      <td>34900.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>365.750000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>7553.500000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1954.000000</td>\n",
              "      <td>1967.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>2007.000000</td>\n",
              "      <td>129975.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>730.500000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>69.000000</td>\n",
              "      <td>9478.500000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1973.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>383.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2008.000000</td>\n",
              "      <td>163000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1095.250000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>11601.500000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2004.000000</td>\n",
              "      <td>166.000000</td>\n",
              "      <td>712.250000</td>\n",
              "      <td>...</td>\n",
              "      <td>168.000000</td>\n",
              "      <td>68.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>2009.000000</td>\n",
              "      <td>214000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1460.000000</td>\n",
              "      <td>190.000000</td>\n",
              "      <td>313.000000</td>\n",
              "      <td>215245.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>2010.000000</td>\n",
              "      <td>2010.000000</td>\n",
              "      <td>1600.000000</td>\n",
              "      <td>5644.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>857.000000</td>\n",
              "      <td>547.000000</td>\n",
              "      <td>552.000000</td>\n",
              "      <td>508.000000</td>\n",
              "      <td>480.000000</td>\n",
              "      <td>738.000000</td>\n",
              "      <td>15500.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>2010.000000</td>\n",
              "      <td>755000.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 38 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4e69cf38-4454-4ab6-b306-6121a059828e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4e69cf38-4454-4ab6-b306-6121a059828e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4e69cf38-4454-4ab6-b306-6121a059828e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Data cleaning\n",
        "df = df.drop(['Id', 'Alley', 'PoolQC', 'Fence', 'MiscFeature'], axis=1)\n",
        "df['LotFrontage'] = df['LotFrontage'].fillna(df['LotFrontage'].mean())\n",
        "df['MasVnrType'] = df['MasVnrType'].fillna(df['MasVnrType'].mode()[0])\n",
        "df['MasVnrArea'] = df['MasVnrArea'].fillna(df['MasVnrArea'].mean())\n",
        "df['BsmtQual'] = df['BsmtQual'].fillna(df['BsmtQual'].mode()[0])\n",
        "df['BsmtCond'] = df['BsmtCond'].fillna(df['BsmtCond'].mode()[0])\n",
        "df['BsmtExposure'] = df['BsmtExposure'].fillna(df['BsmtExposure'].mode()[0])\n",
        "df['BsmtFinType1'] = df['BsmtFinType1'].fillna(df['BsmtFinType1'].mode()[0])\n",
        "df['BsmtFinType2'] = df['BsmtFinType2'].fillna(df['BsmtFinType2'].mode()[0])\n",
        "df['Electrical'] = df['Electrical'].fillna(df['Electrical'].mode()[0])\n",
        "df['FireplaceQu'] = df['FireplaceQu'].fillna('None')\n",
        "df['GarageType'] = df['GarageType'].fillna(df['GarageType'].mode()[0])\n",
        "df['GarageYrBlt'] = df['GarageYrBlt'].fillna(df['GarageYrBlt'].mean())\n",
        "df['GarageFinish'] = df['GarageFinish'].fillna(df['GarageFinish'].mode()[0])\n",
        "df['GarageQual'] = df['GarageQual'].fillna(df['GarageQual'].mode()[0])\n",
        "df['GarageCond'] = df['GarageCond'].fillna(df['GarageCond'].mode()[0])"
      ],
      "metadata": {
        "id": "6VyP0xgth7uP"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Descriptive statistics of the target variable 'SalePrice'\n",
        "df['SalePrice'].describe()\n",
        "\n",
        "# Distribution of 'SalePrice'\n",
        "sns.histplot(df['SalePrice'], kde=True)\n",
        "plt.show()\n",
        "\n",
        "# Correlation matrix of all numerical variables\n",
        "corr_matrix = df.corr()\n",
        "sns.heatmap(corr_matrix, cmap='coolwarm')\n",
        "plt.show()\n",
        "\n",
        "# Correlation matrix of top 10 variables with highest correlation to 'SalePrice'\n",
        "top_corr_vars = corr_matrix.nlargest(10, 'SalePrice')['SalePrice'].index\n",
        "top_corr_matrix = np.corrcoef(df[top_corr_vars].values.T)\n",
        "sns.heatmap(top_corr_matrix, annot=True, cmap='coolwarm', xticklabels=top_corr_vars.values, yticklabels=top_corr_vars.values)\n",
        "plt.show()\n",
        "\n",
        "# Relationship between 'SalePrice' and 'GrLivArea'\n",
        "sns.scatterplot(x='GrLivArea', y='SalePrice', data=df)\n",
        "plt.show()\n",
        "\n",
        "# Relationship between 'SalePrice' and 'OverallQual'\n",
        "sns.boxplot(x='OverallQual', y='SalePrice', data=df)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D_2gYRl_cKuI",
        "outputId": "0bbd6fec-d6d8-4fad-8a18-21632db5b705"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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JCsHOgmoUVjfA4RBQqaQurYOIiJSH3VjUYa7FBJMjQxDUzRuAXkycQQ+9RgWrzYEyc5MsNRARkX9h2KEOk3NwsotKOtuqVMgp6ERE1AEMO9RhrmnnadHyhR0ASGoNO0UMO0RE1AGyhp0tW7bgpptuQmJiIiRJwqpVq9zHWlpa8NRTT2HIkCEIDQ1FYmIi7rnnHpSUeO60nZqaCkmSPB5Lly718p0EhrODk70/E+tcrrBTZm5Cs80hay1EROT7ZA079fX1yMjIwLJlyy441tDQgD179uDpp5/Gnj178Omnn+LIkSO4+eabLzj3ueeeQ2lpqfvxq1/9yhvlBxzXjuOpUfK27BiDg2AMDoJDAMXcOoKIiC5B1tlY06dPx/Tp09s8ZjQasXbtWo/X3nzzTYwZMwaFhYVITk52vx4eHo74+PgOv6/VaoXVanU/N5vNl1l54LHZHTh1xhksUqK6diZWZyRFBKO2sQVF1Q2yd6sREZFv86sxO7W1tZAkCSaTyeP1pUuXIioqCsOHD8dLL70Em6391XWXLFkCo9HofiQlJXVj1f5p4OAhMEVGuR+x6QNhcwgIWzMGpifBFBmFujqLbPW5urIKz3DcDhERtc9v1tlpamrCU089hbvuugsGg8H9+iOPPIIRI0YgMjIS27dvR1ZWFkpLS/HKK69c9FpZWVlYuHCh+7nZbGbgOU9JSYnHujcnq+qxKrcEUYYwPPbRdgDOdW/kkhThDDtVlmbUW20I1fnNjzIREXmZX/yFaGlpwe233w4hBN566y2PY+eGlqFDh0Kr1eLBBx/EkiVLoNPp2ryeTqe76DFqW21jCwDAGBIkcyVOwVo1YsJ0qLRYcepMI/rFh8tdEhER+Sif78ZyBZ2TJ09i7dq1Hq06bcnMzITNZsOJEye8U2CAcIedYN8IOwCQFBkMgOvtEBFR+3w67LiCztGjR7Fu3TpERbW/dxIA5ObmQqVSITY21gsVBo6aBmfYMflQ2OnZ2pXFGVlERNQeWbuxLBYL8vPz3c8LCgqQm5uLyMhIJCQk4Gc/+xn27NmDr776Cna7HWVlZQCAyMhIaLVaZGdnY+fOnZg4cSLCw8ORnZ2Nxx9/HHfffTciIiLkui1F8rVuLABINOkhwVlbXVMLwvW+UxsREfkOWcPO7t27MXHiRPdz1/ib2bNn49lnn8UXX3wBABg2bJjH523cuBETJkyATqfDypUr8eyzz8JqtSItLQ2PP/64xzgeunJCCHfY8aWWHZ1GjViDDuVmK4rPNKJ/gu/URkREvkPWsDNhwgQIIS56vL1jADBixAjs2LGjq8ui89Q322FzCEgSfK71pKcpBOVmK07VNKJ/QvvjuYiIKDD59Jgd8g21reN1DPogqFWSzNV46hHhHKTsWvCQiIjofAw7dEk1jc0AfGsmlsv543aIiIjOx7BDl+SL085dXON2AKCYrTtERNQGhh26JFc3lsmHZmKdq6fJOQX9FKegExFRGxh26JJqfLhlB+C4HSIiah/DDl2SL047P1eiSQ/AWacUzBlZRETkiWGH2tXUYofV5gAAGHw07Og0akSFaQEAmri+MldDRES+hmGH2uVq1QnRqhGk9t0fl0SjsytLHd9H5kqIiMjX+O5fL/IJZh8fr+OSaHR2ZWniGHaIiMgTww61y9xkA+C7XVguCabWlp3oVDS12GWuhoiIfAnDDrXLvcaOj20TcT6DXoNQrRqSWoN9RTVyl0NERD6EYYfa5erGMgTLuo3aJUmS5G7d2X3yjMzVEBGRL2HYoXb58urJ53ON29l9olrmSoiIyJcw7NBFCSFQ5xqz4+PdWMDZcTs5J8/A4RAyV0NERL6CYYcuymK1wS4EVBIQpvftbiwAiAnTQbRYYW6yIb/SInc5RETkIxh26KLMjc5WnXB9EFSSJHM1l6ZWSbBVHgMA7D7BcTtEROTEsEMXVdvkH4OTz2UvOwoA2H2S43aIiMiJYYcuyl+mnZ/LVu4MOzmckUVERK0Yduiizk4795+wYy/PhyQBJ6saUFlnlbscIiLyAQw7dFH+slXEuURzA/rGhgMActiVRUREYNihdpwds+M/YQcARqZGAOAgZSIicmLYobapg1Bvde4x5U9jdgBgVEpr2OG4HSIiAsMOXYQqLBoAoFWroA/yrx+TUSmRAICDJbXcFJSIiBh2qG0qQwwA57RzyQ/W2DlXUmQwYsJ1aLELbgpKREQMO9Q2Vbgz7PjT4GQXSZLcXVk5hezKIiIKdAw71CZX2PGHPbHaMjzZBADILayRtQ4iIpIfww616Ww3lr+GHWfLzt6iGgjBTUGJiAIZww61SRUeC8A/u7EAYHCiERqVhMo6K4prGuUuh4iIZMSwQ21ShztnYxn8YLfztgRr1RiQYAAA5HKQMhFRQGPYoQvUNrRA0oUC8N9uLODsuJ29HLdDRBTQGHboAoXVDQCAEK0aQWr//RE5G3Y4I4uIKJD5718y6jZFZ5xhx1/H67gMS3IOUs4rMcNq4+KCRESBimGHLuBq2fHnLiwASI0KgSkkCM02Bw6X1sldDhERyYRhhy5Q1Bp2/G1PrPNJkoThSSYA7MoiIgpkDDt0gaIzzqnahmD/nIl1Lvd6OxykTEQUsBh26ALulh0/78YCzllJmdPPiYgClv//0526lN0hUOxq2fHDbiyLxQJTZNTZF4KCYbz3LRRWNyAiMRWiqQ6JiYk4lHdAviKJiMirGHbIQ7m5Cc12B4TDhjA/XFDQ4XBg0UfZHq/9a8dJVNc34+6XP0V6TBgW3zFWpuqIiEgOnerGSk9PR1VV1QWv19TUID09vcPX2bJlC2666SYkJiZCkiSsWrXK47gQAs888wwSEhIQHByMyZMn4+jRox7nVFdXY9asWTAYDDCZTJgzZw4sFktnbotwtgvLUVcFlSTJXE3XiDfoAQBl5iaZKyEiIjl0KuycOHECdvuF65ZYrVYUFxd3+Dr19fXIyMjAsmXL2jz+4osv4vXXX8fbb7+NnTt3IjQ0FFOnTkVT09k/WrNmzcLBgwexdu1afPXVV9iyZQvmzZt3+TdFAM4OTnbUVchcSdeJNzrDTmktww4RUSC6rH6KL774wv3xmjVrYDQa3c/tdjvWr1+P1NTUDl9v+vTpmD59epvHhBB47bXX8Pvf/x633HILAOCf//wn4uLisGrVKtx55504fPgwVq9ejV27dmHUqFEAgDfeeAMzZszAyy+/jMTExMu5PcLZNXYcdZUyV9J1XC075eYmOLgDOhFRwLmssHPrrbcCcK5fMnv2bI9jQUFBSE1NxZ///OcuKaygoABlZWWYPHmy+zWj0YjMzExkZ2fjzjvvRHZ2NkwmkzvoAMDkyZOhUqmwc+dO/PSnP23z2larFVar1f3cbDZ3Sc1KcMoVdsynZa6k60SFaRGkltBiF6iub5a7HCIi8rLLCjsOhwMAkJaWhl27diE6OrpbigKAsrIyAEBcXJzH63Fxce5jZWVliI2N9Tiu0WgQGRnpPqctS5YsweLFi7u4YmU427KjnG4slSQhzqDHqTONKGNXFhFRwOnUmJ2CgoJuDTrdLSsrC7W1te5HUVGR3CX5DNe+WErqxgI4SJmIKJB1em7x+vXrsX79elRUVLhbfFzefffdKy4sPj4eAFBeXo6EhAT36+Xl5Rg2bJj7nIoKzxYIm82G6upq9+e3RafTQafTXXGNStPUYke52dm95zArK+wktA5SZssOEVHg6VTLzuLFizFlyhSsX78ep0+fxpkzZzweXSEtLQ3x8fFYv369+zWz2YydO3di7FjnOiljx45FTU0NcnJy3Ods2LABDocDmZmZXVJHIDnVOhMrTKeBsCpr+n5ca8tOVX0zEBQsczVERORNnWrZefvtt7FixQr84he/uKI3t1gsyM/Pdz8vKChAbm4uIiMjkZycjMceewx//OMf0adPH6SlpeHpp59GYmKie6D0gAEDMG3aNMydOxdvv/02WlpasGDBAtx5552cidUJri6snhHBOCVzLV0tVKeBQa+BuckGTWzH14IiIiL/16mw09zcjKuvvvqK33z37t2YOHGi+/nChQsBALNnz8aKFSvw61//GvX19Zg3bx5qampw7bXXYvXq1dDr9e7P+eCDD7BgwQJMmjQJKpUKM2fOxOuvv37FtQUi14KCyZEh2CFzLd0h3qiHuckCdWwvuUshIiIv6lTYeeCBB/Dhhx/i6aefvqI3nzBhAkQ7655IkoTnnnsOzz333EXPiYyMxIcffnhFdZCTK+wkRYbIXEn3iDfo8WO5BZrY3nKXQkREXtSpsNPU1IS//e1vWLduHYYOHYqgIM8NI1955ZUuKY68q6jaOWYnWaFhJ8HoHKujjk2HEAKSQrbDICKi9nUq7Ozfv989IyovL8/jGP+A+K9Cd8uOMgfwRodroZYkINiAwuoGpESFyl0SERF5QafCzsaNG7u6DpKZEOJsN1aEMlt2NCoVYsJ1KDM3YW9hDcMOEVGA6NTUc1Ke2sYW1FltAICeCg07wNlNQfcWds0SCURE5Ps61bIzceLEdrurNmzY0OmCSB6u8Tox4ToEa9UyV9N9Eox65BYBe4tq5C6FiIi8pFNhxzVex6WlpQW5ubnIy8u7YINQ8g+uNXaUOjjZxbVtxKESM5pa7NAHKTfYERGRU6fCzquvvtrm688++ywsFmWtvBso3IOTI5Q5ONklXK+Bo6EGthAT8oprMSo1Uu6SiIiom3XpmJ277767S/bFIu9T+ho7LpIkwV5xDACwt7BG3mKIiMgrujTsZGdne6xuTP6jqHVfLKWHHQCwlTvDTi7H7RARBYROdWPddtttHs+FECgtLcXu3buveFVlkkdhVT0A5U47P5e9wrkfG2dkEREFhk6FHaPR6PFcpVKhX79+eO655zBlypQuKYy8x2Z3uHc8T4lSftixVRZAJQEltU0oq21yT0cnIiJl6lTYWb58eVfXQTIqrW2CzSGg1ajcs5UUzWZFv3gDDpeakVt0BtOMCXJXRERE3ahTYcclJycHhw8fBgAMGjQIw4cP75KiyLtOVp2diaVSBcZ2H8OTTThcasbewhpMG8ywQ0SkZJ0KOxUVFbjzzjuxadMmmEwmAEBNTQ0mTpyIlStXIiYmpitrpG52sto5XieQtk8YnmTChzsLOSOLiCgAdGo21q9+9SvU1dXh4MGDqK6uRnV1NfLy8mA2m/HII490dY3UzVxr7Ch9QcFzDU82AQD2F9egxe6QtxgiIupWnWrZWb16NdatW4cBAwa4Xxs4cCCWLVvGAcp+qLC1GysQBie7pEeHIVyvQV2TDUfK6jC4h/HSn0RERH6pUy07DocDQUFBF7weFBQEh4P/SvY3JwMw7KhUEoYlmQBwCjoRkdJ1Kuz85Cc/waOPPoqSkhL3a8XFxXj88ccxadKkLiuOup8Q4pxurMAZswMAI1MiAAC7TjDsEBEpWafCzptvvgmz2YzU1FT06tULvXr1QlpaGsxmM954442urpG6UXV9MyxWGyQJ6KnwfbHON6Z1X6xdJ6ohhJC5GiIi6i6dGrOTlJSEPXv2YN26dfjhhx8AAAMGDMDkyZO7tDjqfidbW3XiDfqA2wF8eHIENCoJpbVNOHWmMSC2yiAiCkSX1bKzYcMGDBw4EGazGZIk4frrr8evfvUr/OpXv8Lo0aMxaNAgbN26tbtqpW7gGpwcSDOxXIK1avfA5F0nqmWuhoiIustlhZ3XXnsNc+fOhcFguOCY0WjEgw8+iFdeeaXLiqPuF4iDk881Ju1sVxYRESnTZYWdffv2Ydq0aRc9PmXKFOTk5FxxUeQ9gbig4LlGt47b+b6AYYeISKkuK+yUl5e3OeXcRaPRoLKy8oqLIu8J5G4sABjVOiPrWGU9qixWmashIqLucFlhp0ePHsjLy7vo8f379yMhgfsM+RPXAOVA7caKCNWib1wYAE5BJyJSqssKOzNmzMDTTz+NpqamC441NjZi0aJFuPHGG7usOOpeDc02VNY5WzNSAmyNnXOxK4uISNkua+r573//e3z66afo27cvFixYgH79+gEAfvjhByxbtgx2ux2/+93vuqVQ6nquxQSNwUEwhly8e1LpxqRF4oOdhdhZUCV3KURE1A0uK+zExcVh+/btePjhh5GVleVeiE2SJEydOhXLli1DXFxctxRKXS8Q98Rqy9j0KADAoVIzahqaYQrRylwRERF1pcteVDAlJQXffPMNzpw5g/z8fAgh0KdPH0RERHRHfdSNAnG387bEGvToHRuG/AoLdhyvxrTB8XKXREREXahTKygDQEREBEaPHt2VtZCXnQzwmVjnurpXFPIrLMg+dpphh4hIYTq1NxYpQ6DPxDrX1b2cXVnbjnHcDhGR0jDsBLDCKueCgoG223lbMtOiIElAfoUFFeYLZxsSEZH/YtgJUDa7A6fONAJgyw7gXG9nYIJzG5Ts42zdISJSEoadAFVa2wSbQ0CrUSHeoJe7HJ9wTe9oAMD2fIYdIiIlYdgJUK7ByUkRwVCpJJmr8Q1j3eN2TstcCRERdSWGnQAV6BuAtmVMaiSC1BJOnWlEwel6ucshIqIuwrAToAJ9A9C2hOo0GJXi3Dpi05EKmashIqKuwrAToE5y9eQ2TegXAwDYdKRS5kqIiKirMOwEKK6x07YJ/WIBADuOV6GpxS5zNURE1BV8PuykpqZCkqQLHvPnzwcATJgw4YJjDz30kMxV+zYhxDlr7DDsnKtvXBgSjHpYbQ5OQSciUgifDzu7du1CaWmp+7F27VoAwM9//nP3OXPnzvU458UXX5SrXL9QXd+M+mY7JAnoGcGwcy5JktxdWZvZlUVEpAid3hvLW2JiYjyeL126FL169cL48ePdr4WEhCA+nvsZdZSrCyveoIc+SC1zNb5nfN9Y/Pv7Imz+kWGHiEgJfL5l51zNzc14//33cf/990OSzq4N88EHHyA6OhqDBw9GVlYWGhoa2r2O1WqF2Wz2eASSk+zCatc1vaOgUUkoOF2PE5yCTkTk9/wq7KxatQo1NTW499573a/9z//8D95//31s3LgRWVlZ+Ne//oW777673essWbIERqPR/UhKSurmyn1LwWlnGEyP4Ro7bQnXB2FMmnMK+rrD5TJXQ0REV8rnu7HO9Y9//APTp09HYmKi+7V58+a5Px4yZAgSEhIwadIkHDt2DL169WrzOllZWVi4cKH7udlsDqjA41owLy2aYedipgyMw/ZjVVhzsAwPXJcudzlERHQF/KZl5+TJk1i3bh0eeOCBds/LzMwEAOTn51/0HJ1OB4PB4PEIJAWnLQCAVK6efFFTBjnHgO0+eQaVdVaZqyEioivhN2Fn+fLliI2NxQ033NDuebm5uQCAhIQEL1Tlf4QQOMFurEtKNAVjaE8jhGBXFhGRv/OLsONwOLB8+XLMnj0bGs3Znrdjx47hD3/4A3JycnDixAl88cUXuOeeezBu3DgMHTpUxop9V6XFCovVBpUEJHGAcrumtrburDlYJnMlRER0Jfwi7Kxbtw6FhYW4//77PV7XarVYt24dpkyZgv79++OJJ57AzJkz8eWXX8pUqe9zter0iAiGTsNp5+2ZOigOALAt/zTMTS0yV0NERJ3lFwOUp0yZAiHEBa8nJSVh8+bNMlTkv1zjddKiw2SuxPf1jg1HekwojlfWY+MPFbhlWA+5SyIiok7wi5Yd6jquaedp3BOrQ6a1dmV9vb9U5kqIiKizGHYCzNmWHQ5O7oibhzmXOdh0pBK1jezKIiLyRww7AcY1ZieVYadD+scb0C8uHM12B9bkcaAyEZE/YtgJIA6HQEHrVhHpATxmx2KxwBQZdcnHwMFDAJxt3fl8X7GcZRMRUSf5xQBl6holtY1otjkQpJaQaNLLXY5sHA4HFn2UfcnzFt8xFgBwc0YiXlpzBNuPVaHC3IRYQ+B+7YiI/BFbdgKIqwsrOTIEGjW/9R2VFBmCkSkREAL4kgOViYj8Dv/iBRBOO++8W1q7sj7be8rj9YGDh3S4O4yIiOTBbqwA4p52Hs1p55frxqGJ+MNXh5BXbMahEjMGJjr3UyspKblkl5irO4yIiOTBlh2Faa+l4a//XgUAeG/Zy/IW6YciQ7W4fqBzReWPdxfJXA0REV0OtuwoTHstDcu3FcDcZEPVicNerkoZbh+VhG8OlOGzvcX4zfT+0Adxuw0iIn/AsBMgbHYHzE02AEBdcT5MkVHtnl9XZ/FGWX7luj4xSDTqUVLbhLWHynFTRqLcJRERUQcw7ASIMw3O1X/1GhVs9TVY9O3Bds9/Yvogb5TlV9QqCT8b2ROvb8jHx7uLGHaIiPwEw06AONPQDACICNXKXIn/cC0+eC5VeDQMd72CLT9WIDJlAFvAiIj8AMNOgDhT3xp2Qhh2Oupiiw+uyi3GyaoGjP/1O/j80QneL4yIiC4LZ2MFiGp3y06QzJX4v2E9TQCAg6VmSEFcTZmIyNcx7AQI15idSLbsXLGUqBCYgoPQbHMgdOAEucshIqJLYNgJAEKIs91YHLNzxSRJQkaSCQAQPuIGCCHkLYiIiNrFsBMALFYbbA4BlQQY9OzG6goDEsIRpJYQFJWEojONcpdDRETtYNgJANWtrTrG4CCoVZLM1SiDTqPGwATnlhH7imrkLYaIiNrFsBMA3ON12IXVpTJaByofP12P2sYWeYshIqKLYtgJAJx23j0iQrVoLNgLANh/qkbeYoiI6KIYdgJANRcU7DZ1e78CABwsMaPF7pC5GiIiagvDTgA427LDwcldren4HhiDg2C1OXC41Cx3OURE1AaGHYVrarGjvtkOgGN2uodARk8jAGBvUQ0cnIZORORzGHYUzjUTK0yngU6jlrkaZRqUaIROo0JNQwuOV9bLXQ4REZ2HYUfhXGEniq063UarUWFoa+tOzskzXGSQiMjHMOwoXFVr2GEXVvfK6GmCWiWhzNyEkpomucshIqJzMOwonKtlJzKMYac7heo0GBAfDgDIKTwjczVERHQuhh2FYzeW94xIiQAAFJyuR5XFKnM1RETkwrCjYNYWOyxWGwB2Y3lDRIgWvWJCAbB1h4jIlzDsKJhrMUHOxPKeUSmRAIAjZXWoa+IWEkREvoBhR8GqLByc7G3xRj16mILhEEAuNwglIvIJDDsKVs2ZWLIY2Tp2J6/YDGuLXeZqiIiIYUfBODhZHqlRIYgK1aLZ7sC+U7Vyl0NEFPAYdhSMa+zIQ5IkjEp1tu7kFtUAGn79iYjkxLCjUFbb2ZlYbNnxvr6x4TAGB6GxxQ5d/4lyl0NEFNAYdhTKNTg5TKeBLogzsbxNpZLcY3d0Q6fDauPYHSIiuTDsKJQr7ERx5WTZDEgIR6hODVVYJD7bUyx3OUREAYthR6FOt67gGx2mk7mSwKVRqTAi2dm689bmY7DZHTJXREQUmHw67Dz77LOQJMnj0b9/f/fxpqYmzJ8/H1FRUQgLC8PMmTNRXl4uY8W+43S9K+ywZUdOQ3oY4Wiqw8mqBnx9oFTucoiIApJPhx0AGDRoEEpLS92P7777zn3s8ccfx5dffolPPvkEmzdvRklJCW677TYZq/UNQgicdnVjhbJlR05BahWsB9YAAP6y8RgcDiFzRUREgUcjdwGXotFoEB8ff8HrtbW1+Mc//oEPP/wQP/nJTwAAy5cvx4ABA7Bjxw5cddVVF72m1WqF1Xp2o0az2dz1hcvIYrWh2eaASuK0c1/QfHAdYq69E0fK67D+hwpcPzBO7pKIiAKKz7fsHD16FImJiUhPT8esWbNQWFgIAMjJyUFLSwsmT57sPrd///5ITk5GdnZ2u9dcsmQJjEaj+5GUlNSt9+BtrladiBAt1CpJ5mpINDfg7qtSAABvbDgKIdi6Q0TkTT4ddjIzM7FixQqsXr0ab731FgoKCnDdddehrq4OZWVl0Gq1MJlMHp8TFxeHsrKydq+blZWF2tpa96OoqKgb78L7XIOTORPLdzxwXRqCg9TYf6oWG49UyF0OEVFA8elurOnTp7s/Hjp0KDIzM5GSkoKPP/4YwcHBnb6uTqeDTqfcsSycieV7osN0uGdsCv665TheW3cUE/vFQpLY6kZE5A0+3bJzPpPJhL59+yI/Px/x8fFobm5GTU2Nxznl5eVtjvEJJK41dhh2fMu8cenu1p0NP7B1h4jIW/wq7FgsFhw7dgwJCQkYOXIkgoKCsH79evfxI0eOoLCwEGPHjpWxSpmpNDjT4Ao77MbyJVFhOtxztXPszmvrOHaHiMhbfDrs/L//9/+wefNmnDhxAtu3b8dPf/pTqNVq3HXXXTAajZgzZw4WLlyIjRs3IicnB/fddx/Gjh3b7kwspVOZEuAQgFajQpjOp3spA9K869IRolXjQHEt1h9m6w4RkTf4dNg5deoU7rrrLvTr1w+33347oqKisGPHDsTExAAAXn31Vdx4442YOXMmxo0bh/j4eHz66acyVy0vdaRzZll0qJZjQnxQVJgO94xNBQC8tv5Htu4QEXmBT//Tf+XKle0e1+v1WLZsGZYtW+alinyfOtrZTRITzvE6vmreuHT8M/sE8orNWHeY6+4QEXU3n27ZocunjmLY8XWRoVrMvjoVAPDaOrbuEBF1N4YdBRFCsGXHT8y9Lh2hWjUOlpixOq/9daGIiOjKMOwoyKkzjVDpQqGSuCeWr4sM1WLOtWkAgJfWHOGO6ERE3YhhR0EOljj3+IoK1XGbCD8wd1w6IkO1OH66Hh/vPiV3OUREisWwoyCHSmoBsAvLX4Trg7BgYm8AzrE7jc12mSsiIlImhh0FcbXsMOz4j1lXJaNnRDAq6qx4d1uB3OUQESkSw46CMOz4H51GjSem9AUAvL35GM7UN8tcERGR8jDsKESVxYoycxOEcCCGe2L5lVsyeqB/fDjqmmz4y6Z8ucshIlIchh2FOFTqbNVx1FZAq+G31Z+oVBKemt4fAPBe9kkU1zTKXBERkbLwr6JCuLqw7FUnZa6EOmNC3xhkpkWi2ebAn/97RO5yiIgUhWFHIfKKnTOxGHb8kyRJyJoxAADw6Z5iHDhVK3NFRETKwbCjEPtb/zjaKzmjx18NSzLh1mGJAIDFXx7kNhJERF3EpzcCpY45U9+MwuoGAAw7/mrg4CEoKSmBFBoBwx0vYvfJM4gdPQMtx793n5OYmIhDeQdkrJKIyD8x7CjA/tYurNSoEOQ2N8hcDXVGSUkJFn2UDQDYcbwKOwuqEX/jY7jnqhRo1M4G2MV3jJWzRCIiv8VuLAXYX1QDABja0yRrHdQ1RqZEIEynQV2TDXsKa+Quh4jI7zHsKMC+1vE6GUkmeQuhLhGkVuGa3lEAgN0nq2Gx2mSuiIjIv7EbSwH2n6oBAGT0NMpbCLXJYrHAFBnV7jl1dRaP5/3iwrGvqBZl5iZsP3YaUwbGd2eJRESKxrDj58pqm1BRZ4VaJWFQIsOOL3I4HO7xOBfzxPRBHs8lScL4vjH4aHcRDpfWYWgPUzdWSESkbOzG8nP7Wlt1+sSGIVirlrcY6lLxRj0GxIcDADYeqQAkSeaKiIj8E8OOnzvbhWWStQ7qHtf0joZWrUJFnRXafuPlLoeIyC8x7Pg512KCQ5PYhaVEoToNrkqPBADox9zOXdGJiDqBYcePORwC+1qnnbNlR7kyepoQFaaFSh+GF9dw3ywiosvFsOPHjlVaYG6yIThIjX6tYztIeVQqCRP7xgIAVu4qdAdcIiLqGIYdP5Zz8gwAICPJiCA1v5VK1iMiGM1Ht0EI4JnP8+BwcN8sIqKO4l9IP+YKOyNTImSuhLyhccdKhOs02HeqFh/tLpK7HCIiv8Gw48dyChl2AolorMVj1/cFALy4+gcOViYi6iCGHT9VXd+M45X1AIDhSQw7gcBiseCJW8bAXl2EMw0tGHhXFkyRURc8Bg4eInepREQ+hSso+6m9ra06vWJCERGqlbka8gaHw4FFK7eh+Ewj/rPnFHQDf4LZs2cjzqD3OI+7oxMReWLLjp/ieJ3A1SMi2D37buORCjgEBysTEbWHYcdPMewEtutaV1YuN1vdC0sSEVHbGHb8UIvd4d4Ti2EnMIXqNLimt3Mn9e3HTsPc1CJzRUREvothxw8dLDGjqcUBY3AQ0qPD5C6HZDKkhxEJRj1a7AIbf6iAYHcWEVGbGHb80I7jVQCAMWmRUKm4E3agkiQJkwfEQS1JOFHVgB/LLXKXRETkkxh2/JAr7FyVHiVzJSS3yFAtRqc5uzI3/1iJxma7zBUREfkehh0/Y7M7sKugGgDcu2FTYBuVEomoUC0aW+zYerRS7nKIiHwOw46fySsxo77ZDmNwEAbEG+Quh3yAWuXszgKAw2V10PTkooJEROdi2PEz2cecXViZHK9D54g36jEsyQQACBk/BzUN3EqCiMiFYcfPcLwOXczVvaIQERIEVWgkfvvZAc7OIiJq5dNhZ8mSJRg9ejTCw8MRGxuLW2+9FUeOHPE4Z8KECZAkyePx0EMPyVRx92qxO7D7hGu8DsMOeQpSqzB1UDyEw4ZvDpThPzmnruh6AwcPaXPvLe7DRUT+xqf3xtq8eTPmz5+P0aNHw2az4be//S2mTJmCQ4cOITQ01H3e3Llz8dxzz7mfh4SEyFFut8srrkV9sx2mkCD0b90ugOhccQY9mnZ/iuAxt+OZzw9iaE+Te2uJy1VSUoJFH2W3ew734SIif+DTYWf16tUez1esWIHY2Fjk5ORg3Lhx7tdDQkIQHx/v7fK8bnvreJ0xqRyvQxdn3fc1psz6JbYePY2H3s/B5wuugUEfJHdZRESy8elurPPV1jr3AIqM9Jxy/cEHHyA6OhqDBw9GVlYWGhoa2r2O1WqF2Wz2ePiDzT86pxVf1zdG5krIpwmB/71zOHqYglFwuh5PfLwPDgfH7xBR4PKbsONwOPDYY4/hmmuuweDBg92v/8///A/ef/99bNy4EVlZWfjXv/6Fu+++u91rLVmyBEaj0f1ISkrq7vKvmLmpBXtaN/8c34dhh9oXGarFW3ePgFatwtpD5fjj14c5YJmIApZPd2Oda/78+cjLy8N3333n8fq8efPcHw8ZMgQJCQmYNGkSjh07hl69erV5raysLCxcuND93Gw2+3zg2Z5fBZtDID06FMlRyhyTRF1raE8TXvr5UDy6MhfvbitAvFGHeePa/n+CiEjJ/KJlZ8GCBfjqq6+wceNG9OzZs91zMzMzAQD5+fkXPUen08FgMHg8fJ2rC2scu7DoMtwyrAd+N2MAAOCFb37ABztPylwREZH3+XTYEUJgwYIF+Oyzz7BhwwakpaVd8nNyc3MBAAkJCd1cnfcIIbClNeyM78ewQ5dn7rh0zBuXDgD43Wd5+PuW4zJXRETkXT7djTV//nx8+OGH+PzzzxEeHo6ysjIAgNFoRHBwMI4dO4YPP/wQM2bMQFRUFPbv34/HH38c48aNw9ChQ2WuvuvkV1hQXNMIrUaFq9K4vg5dvqzp/aFRSfjLpmN4/pvDOG2x4smp/aBR+/S/d4iIuoRP/6Z76623UFtbiwkTJiAhIcH9+OijjwAAWq0W69atw5QpU9C/f3888cQTmDlzJr788kuZK+9ari6szLRIBGvVMldD/kiSJPx6Wn88ObUfAOCvW47j3uW7UF3PbSWISPl8umXnUrNHkpKSsHnzZi9VI58NP1QAAMZzvA5dofkTeyMlKgS//s9+fJd/GjP+dyuW3DYEE/vHyl0aEVG38emWHQLO1DdjZ4FziwjXztZEV+LGoYn47JfXID06FGXmJty3YhcWfpyL0xar3KUREXULhh0ft+5wOewOgf7x4UiNDr30JxB1QL/4cHz9yHV44No0SBLw6Z5iTHxpE/6+5TiabQ65yyMi6lIMOz5uzUHnoOzpg5Uzu4x8Q7BWjd/fOBD/9/DVGNrTiDqrDc9/cxjTXtuCja1dp0RESsCw48MsVhu2HD0NAJg2WPl7f5E8RiRHYNUvr8GLPxuK6DAdjp+ux30rdiF02hMcwExEisCw48M2HalAs82BtOhQ9I0Lk7scUjCVSsLto5Kw8f+Nx4Pj0xGklhCUnIEPdp7Elh8rYW2xy10iEVGnMez4sNV5zi6sqYPiIUnc5Zy6X7g+CFnTB+C/j49Hy4k9cAhgb1EN3ss+iQPFtdxfi4j8EsOOj2potrnHTbALi7wtLToU9f99DbcOS0RkiBaNLXZs+KECq3JLYGmyyV0eEdFl8el1dgLZmoNlqG+2IzkyBBk9jXKXQ37EYrHAFNn+StuJiYk4lHfgktdKiQrF/2SGYN+pGmQfq0JhdQPe33kS1w+MQ68Ydq0SkX9g2PFRn+4pBgDcNqIHu7DosjgcDiz6KLvdcxbfMbbD11OrJIxIjkBqVCjWHCxDRZ0VX+0vxejUCIA/m0TkBxh2fFBpbSO+y3fOwpo5ov1d3ok6oyOtP3V1Fo/nkaFa3D4qCd/ln0ZuUQ12nTiD0KkLYbHaEKbjrxIi8l38DeWDPttbDCGAMWmRSIoMkbscUqCOtP48MX3QBa+pVRLG941BvEGPdYfLgeQM3PHXbCy/dzRiDfruKpeI6IpwgLKPEULg/3JOAQBmjughczVEbesXH46ZI3rC0WjGwRIzfvqX7fixvE7usoiI2sSw42P2FNbgWGU99EEqzBjCVZPJd8Ub9bCsWoz06FAU1zRi5lvbsf3YabnLIiK6AMOOj1mx/QQA4IYhiQjXB8lbDNElOOoq8X8PX42RKRGoa7Jh9rvf4/PcYrnLIiLywLDjQ8pqm/DtgVIAwH3XpMpbDFEHRYRq8cEDmZgxJB4tdoFHV+bina3H5S6LiMiNYceH/GvHCdgcAmPSIjG4B9fWIf+hD1LjjbtG4N6rUwEAf/z6MP741SE4HFxxmYjkx7DjI5pa7PhwZyEA4H626pAfUqskLLppILKm9wcAvPNdAR77KBdWG/fVIiJ5ceq5j/hsbzHONLSghykY1w9se3uIgYOHoKSkpN3rnL82ClF3uth6PUG9r0bIhAfwxb4SfLXhO+x6dR6iwnQyVEhExLDjE5ptDry5IR+Ac6yOWtX2qrQlJSWdWhuFqLu0t17Pyap6fHOgDM1R6bj5zW342z0jMSiR3bNE5H3sxvIBH+0uQnFNI2LDdbj7qhS5yyHqEilRobh9VE/Ya8tQXNOI2/6yHf/acZI7pxOR1zHsyKypxY43NxwFACz4SW/og9QyV0TUdaLCdLB89iwm9IuB1ebA06vyMPefu1FW2yR3aUQUQNiNJbP3d5xEudkKR91pPHJTJh5x2C56LsfjkD8SzQ14d/ZoLN9+An/69gesO1yB7cc24ZFJfXDfNanQaToe8Dsybq2jO7oTUeBg2JHRaYsVr693tupcP3ogBt+6td3zOR6H/JVKJWHOtWm4ulcUfvfZAewprMHSb3/A8m0FmHNtGu4ckwxDBxbR7Mi4tcvZ0Z2IAgO7sWT0wjeHYW6ywXb6BAYmGOQuh6jbDUgw4D8PXY0//zwD8QY9ys1WvPDNDxj1x3V48F+7sWpvMUpqGuUuk4gUhi07Msk+VoVP9xRDkoDGrSuguuN6uUsi8gqVSsLMkT1xU0YiVuUW452tx/FjuQVrDpZjzcFyAECCUY/esWHoFROGBKMesQYdYsP1UJkS0dRih06jgiS1PWuRiOh8DDsyaGqx4/ernGMKZmUm482/cml9CjxajQq3j0rCz0f2xOHSOny5vwTb8k/jYIkZpbVNKK1twtajnhuLGm5fir9uOQ61SkKIVo1QrQahOjVMIVpEh2oRE64DwBBERJ4YdmSw+MtDOFZZj5hwHZ6c0h9vyl0QkYwkScLARAMGJjq7cuutNhwsMaPgtAUFpxtQbm5CRV0TKsxWHCksg0ofBrtDoK7Jhrom14D+evf1DPcsw5wVu/CTAbGYPCAOcQa9DHdFRL6EYcfLvtxXgn9/XwhJAl69fRiMIdzZnAjo+ArhS7/ch4ZmO+qbbai32mGx2lBd34wqixUVdVbY9GFY/0MF1v9Qgd99loehPY24fkAcpg2OR5+4cC/dDRH5EoYdLzpWaUHWp87uq/kTeuPaPtEyV0TkOzq6QrhGrYIhWAVD8IX/ULA7BJY8MgvPvb0S6w6XI7eoBvtP1WL/qVr8ee2PGJBgwM0ZibgpIwE9I0K661aIyMcw7HhJRV0TZr/7PSxWG0anRuCxyX3kLolIcdQqCbUFB/C7mZkAACnYiKDkDASljoImaTAOl5pxuNSMP63+AaNSInDzsETMGJKAaO7bRaRoDDteYLHacN/yXTh1phEpUSF46+6R0Kg565+oO1xsv66mFjvyKyw4UlaHojP12H3yDHafPIPFXx7CNb2jcXNGIqYOikN4B9b7ISL/wrDTzWobW3D/il04WGJGVKgW7903hv+KpIBysZ3Rz9fdK4Trg9QY3MOIwT2MeO6+GXjp3//FF/tKsP9ULbb8WIktP1bit5+pMKl/LG4YmoBre0fDFKLt1pqIyDsYdrrRaYsV9/zjexwqNcOg1+Dde0cjNTpU7rKIvKq9ndHP5c0VwkXDGTxwXToeuC4dBafr8UVuCb7YV4xjlfX4Nq8M3+aVQSUBQ3qacF3vaFzXJxoZSSbuXUfkpxh2usmZ+mbc/tdsHK+sh6OhFqf+8yLGv17U5rnc84rIuy7W2qSOSkZQ77EISsoAIntiX1EN9hXV4M2N+dCqVRiYaMDwZBOGJ0dgeJIJPSOCubghkR9g2OkmxuAgjEyOQP7xk7h3ykhE3PTxRc/lnldE3tWR1qbn7p+Bv322Ed/ln8a2/NM4bWlGblENcotqsHzbCQBAuF6DAfEGDEgIx4AEAwYkGNAvPpwtQEQ+hmGnm6hUEpbOHIp3HvspIm5dLXc5RHSZ6sqLMHfKMPdzVXgM1LG9oYnrDXVcb6gjk1DXBHx/ohrfn6h2nyccDjhqS2GvKoS9ugj2MyWI1rYgb/sGTkwgkgnDTjdSqySIxlq5yyCiTrhU64/dIVBd34zXn12IKQ89i8o6K05bmtHYAqgjekAd0QOAcwf2JgADn1mD9JhQ9IoNQ5/YMPSODUOf2HCkRodAp2FLEFF3YtghIuoEtUpCTLgODYc24bo+MQAAIQTqm+04XWdFpcWKKkszqhuaUXHGjGbo8ENZHX4oq/O4jiQBCQY9yo4fQuPpU3CYK+Goq2j9b6XHP5gSExNxKO+AV++TSAkYdoiIuogkSQjTaRCm03jMvFx8x9U4kF+IoxV1yK+w4Gi5BfmVFuSXW1BntaGktgmISocuKv2Ca2pUEgzBQQjXafDj9m/w2rofkWDUI94YjESjHvFGPdcGIroExYSdZcuW4aWXXkJZWRkyMjLwxhtvYMyYMXKXRUQEQCApMgRJkSH4Sf+4s68KgUqLFUXVjZj2s19g8tzfo7axBebGFtQ2tcDSZIOttbusur4Zuv4T8Nq6oxdcPUynaQ1AeiQagxFv1CPBqEecQY/IUC2iwrSICtUhWOud7jKb3YGGFjsarHY0NNsw4+ZbUVFR0Xr0vNlrDhuErQXx0RHI2bkNeo0aKhVnuPmTjuxrJ3erpCLCzkcffYSFCxfi7bffRmZmJl577TVMnToVR44cQWxsrNzlERG1SZIkxIbrERuuR8uxbIxJi/Q47tzdvQXmJhssTTZ88c+/4P75j6O0thFltU0oqWl0HrPacLTCgqMV7S9jEaJVIypMi8hQHQx6ZwtUaGtLVLBWjSCVBLVKBY1aglolwe4QsNocaHY97Hb3xw3NdveGrA3W1v8221FvtcFqc3i+8fjHYbjE16IRznFNAKDVqKDXqBCsVUMfpIZOo4JOo4ZWo4JOozrnv2r3c3XrEgACwvlf539an519jvOPu89zfqBWSdBp1NAFOd9T3/pfnUaFEK3a/fVy/leNEK3z41CtWrED0IVw/hzUW52b79ZZW1BvdX6vLVYbTof3wU0vvQObXcAhBIRwfj0dwhltVZKEzZ/8HdX1zYgMlWehTkWEnVdeeQVz587FfffdBwB4++238fXXX+Pdd9/Fb37zG5mrI6JA15FVpNtab0utkmAK0bpXcl6+9QO8tfdzz5M0OqhCI6AKi4IqNAJ2nRFaUwxUoVGQgg1QBRsgBRsgqYOcAaW6EUXVjV12b+0RDjtgs8Jha0GYMbLNc+xCwG4XsJ9NI+5AZW6yeaXOrqIPUiHUFX7OCUPOcKRuDUUa6INUzlCpcoZKV7jUuMKmSsL5yzed8+U5+xrEJc+xOwRsDoEWuwMtdud/bed+7BBoarHDYj0bWi1WmzvYuD62Odq4eKuQ8XOw9ejpdr82waNnoqaBYafTmpubkZOTg6ysLPdrKpUKkydPRnZ22zMprFYrrFar+3ltrXMAoNls7vL6hBBoqm//X1sdOacrr+XNc3yxJtbte+f4Yk1dWbfdbsdT765t95zfzhzTZdd54f++v6DGZocDTc12NLbY0dhsx/+9vQQvLH3R/UeuocUO0fqH0e4QaLELaFQStBoVgjQqaNXOR5BGgk6jgl6rRmiQBgvmP4w7H/+D85hagkatQpBa1dpKJEGSpDZrOt/S+yfjhyP5sLbY0WRzoLHFDmuLHVabHc0tAla7A1abA/N+OR83zvstbA4H7A7A0VrvuX+Kt656D088/jik1i6z84ODJAEvvvwSxs+c43zu8bUCbA5nCNj+zScYOWUm7A6H+2vSbHOGhWaHA802AWtzMySV809pgxVoAFDZ7p36t2Dt2UAXolUjVKtB9ncbMXDktVCrJajgDGqu/woADiGwZ8OXkFrGwGx2XPI9Lofr77ZoK+mdS/i54uJiAUBs377d4/Unn3xSjBkzps3PWbRokYDze8AHH3zwwQcffPj5o6ioqN2s4PctO52RlZWFhQsXup/X1NQgJSUFhYWFMBqNMlbmfWazGUlJSSgqKoLBcKledWUJ1HsP1PsGAvfeA/W+Ad670u9dCIG6ujokJia2e57fh53o6Gio1WqUl5d7vF5eXo74+Pg2P0en00Gnu3DncaPRqNgfiEsxGAy89wATqPcNBO69B+p9A7x3Jd97Rxop/H7ouFarxciRI7F+/Xr3aw6HA+vXr8fYsWNlrIyIiIh8gd+37ADAwoULMXv2bIwaNQpjxozBa6+9hvr6evfsLCIiIgpcigg7d9xxByorK/HMM8+grKwMw4YNw+rVqxEXF3fpT4azW2vRokVtdm0pHe898O49UO8bCNx7D9T7BnjvgXrv55OEuNR8LSIiIiL/5fdjdoiIiIjaw7BDREREisawQ0RERIrGsENERESKxrADYNmyZUhNTYVer0dmZia+/779PVy8acuWLbjpppuQmJgISZKwatUqj+NCCDzzzDNISEhAcHAwJk+ejKNHj3qcU11djVmzZsFgMMBkMmHOnDmwWDz34Nm/fz+uu+466PV6JCUl4cUXX7yglk8++QT9+/eHXq/HkCFD8M0331x2LR21ZMkSjB49GuHh4YiNjcWtt96KI0eOeJzT1NSE+fPnIyoqCmFhYZg5c+YFi0sWFhbihhtuQEhICGJjY/Hkk0/CZvPcXHDTpk0YMWIEdDodevfujRUrVlxQz6V+RjpSS0e99dZbGDp0qHshsLFjx+Lbb79V/H2fb+nSpZAkCY899pji7/3ZZ5+FJEkej/79+yv+vl2Ki4tx9913IyoqCsHBwRgyZAh2797tPq7U33OpqakXfN8lScL8+fMBKP/77lVXvjuVf1u5cqXQarXi3XffFQcPHhRz584VJpNJlJeXy12aEEKIb775Rvzud78Tn376qQAgPvvsM4/jS5cuFUajUaxatUrs27dP3HzzzSItLU00Nja6z5k2bZrIyMgQO3bsEFu3bhW9e/cWd911l/t4bW2tiIuLE7NmzRJ5eXni3//+twgODhZ//etf3eds27ZNqNVq8eKLL4pDhw6J3//+9yIoKEgcOHDgsmrpqKlTp4rly5eLvLw8kZubK2bMmCGSk5OFxWJxn/PQQw+JpKQksX79erF7925x1VVXiauvvtp93GazicGDB4vJkyeLvXv3im+++UZER0eLrKws9znHjx8XISEhYuHCheLQoUPijTfeEGq1Wqxevdp9Tkd+Ri5Vy+X44osvxNdffy1+/PFHceTIEfHb3/5WBAUFiby8PEXf97m+//57kZqaKoYOHSoeffTRDr+fv977okWLxKBBg0Rpaan7UVlZqfj7FkKI6upqkZKSIu69916xc+dOcfz4cbFmzRqRn5/vPkepv+cqKio8vudr164VAMTGjRuFEMr+vntbwIedMWPGiPnz57uf2+12kZiYKJYsWSJjVW07P+w4HA4RHx8vXnrpJfdrNTU1QqfTiX//+99CCCEOHTokAIhdu3a5z/n222+FJEmiuLhYCCHEX/7yFxERESGsVqv7nKeeekr069fP/fz2228XN9xwg0c9mZmZ4sEHH+xwLVeioqJCABCbN292XzsoKEh88skn7nMOHz4sAIjs7GwhhDMoqlQqUVZW5j7nrbfeEgaDwX2vv/71r8WgQYM83uuOO+4QU6dOdT+/1M9IR2q5UhEREeKdd94JiPuuq6sTffr0EWvXrhXjx493hx0l3/uiRYtERkZGm8eUfN9COH/XXHvttRc9Hki/5x599FHRq1cv4XA4FP9997aA7sZqbm5GTk4OJk+e7H5NpVJh8uTJyM7OlrGyjikoKEBZWZlH/UajEZmZme76s7OzYTKZMGrUKPc5kydPhkqlws6dO93njBs3Dlqt1n3O1KlTceTIEZw5c8Z9zrnv4zrH9T4dqeVK1NbWAgAiIyMBADk5OWhpafF4v/79+yM5Odnj3ocMGeKxuOTUqVNhNptx8ODBDt1XR35GOlJLZ9ntdqxcuRL19fUYO3ZsQNz3/PnzccMNN1xQn9Lv/ejRo0hMTER6ejpmzZqFwsLCgLjvL774AqNGjcLPf/5zxMbGYvjw4fj73//uPh4ov+eam5vx/vvv4/7774ckSYr/vntbQIed06dPw263X7DSclxcHMrKymSqquNcNbZXf1lZGWJjYz2OazQaREZGepzT1jXOfY+LnXPu8UvV0lkOhwOPPfYYrrnmGgwePNj9flqtFiaTqd2aOntfZrMZjY2NHfoZ6Ugtl+vAgQMICwuDTqfDQw89hM8++wwDBw5U/H2vXLkSe/bswZIlSy44puR7z8zMxIoVK7B69Wq89dZbKCgowHXXXYe6ujpF3zcAHD9+HG+99Rb69OmDNWvW4OGHH8YjjzyC9957z6N+pf+eW7VqFWpqanDvvfe630vJ33dvU8R2EaRs8+fPR15eHr777ju5S/Gafv36ITc3F7W1tfjPf/6D2bNnY/PmzXKX1a2Kiorw6KOPYu3atdDr9XKX41XTp093fzx06FBkZmYiJSUFH3/8MYKDg2WsrPs5HA6MGjUKL7zwAgBg+PDhyMvLw9tvv43Zs2fLXJ33/OMf/8D06dORmJgodymKFNAtO9HR0VCr1ReMKC8vL0d8fLxMVXWcq8b26o+Pj0dFRYXHcZvNhurqao9z2rrGue9xsXPOPX6pWjpjwYIF+Oqrr7Bx40b07NnT/Xp8fDyam5tRU1PTbk2dvS+DwYDg4OAO/Yx0pJbLpdVq0bt3b4wcORJLlixBRkYG/vd//1fR952Tk4OKigqMGDECGo0GGo0Gmzdvxuuvvw6NRoO4uDjF3vv5TCYT+vbti/z8fEV/zwEgISEBAwcO9HhtwIAB7m68QPg9d/LkSaxbtw4PPPCA+zWlf9+9LaDDjlarxciRI7F+/Xr3aw6HA+vXr8fYsWNlrKxj0tLSEB8f71G/2WzGzp073fWPHTsWNTU1yMnJcZ+zYcMGOBwOZGZmus/ZsmULWlpa3OesXbsW/fr1Q0REhPucc9/HdY7rfTpSy+UQQmDBggX47LPPsGHDBqSlpXkcHzlyJIKCgjze78iRIygsLPS49wMHDnj8Ely7di0MBoP7l+ul7qsjPyMdqeVKORwOWK1WRd/3pEmTcODAAeTm5rofo0aNwqxZs9wfK/Xez2exWHDs2DEkJCQo+nsOANdcc80Fy0r8+OOPSElJAaDs33Muy5cvR2xsLG644Qb3a0r/vnud3COk5bZy5Uqh0+nEihUrxKFDh8S8efOEyWTyGN0up7q6OrF3716xd+9eAUC88sorYu/eveLkyZNCCOc0SJPJJD7//HOxf/9+ccstt7Q5JXP48OFi586d4rvvvhN9+vTxmJJZU1Mj4uLixC9+8QuRl5cnVq5cKUJCQi6YkqnRaMTLL78sDh8+LBYtWtTmlMxL1dJRDz/8sDAajWLTpk0eUzMbGhrc5zz00EMiOTlZbNiwQezevVuMHTtWjB071n3cNS1zypQpIjc3V6xevVrExMS0OS3zySefFIcPHxbLli1rc1rmpX5GLlXL5fjNb34jNm/eLAoKCsT+/fvFb37zGyFJkvjvf/+r6Ptuy7mzsZR870888YTYtGmTKCgoENu2bROTJ08W0dHRoqKiQtH3LYRzmQGNRiOef/55cfToUfHBBx+IkJAQ8f7777vPUervOSGcM5+Sk5PFU089dcExJX/fvS3gw44QQrzxxhsiOTlZaLVaMWbMGLFjxw65S3LbuHGjAHDBY/bs2UII51TIp59+WsTFxQmdTicmTZokjhw54nGNqqoqcdddd4mwsDBhMBjEfffdJ+rq6jzO2bdvn7j22muFTqcTPXr0EEuXLr2glo8//lj07dtXaLVaMWjQIPH11197HO9ILR3V1j0DEMuXL3ef09jYKH75y1+KiIgIERISIn7605+K0tJSj+ucOHFCTJ8+XQQHB4vo6GjxxBNPiJaWFo9zNm7cKIYNGya0Wq1IT0/3eA+XS/2MdKSWjrr//vtFSkqK0Gq1IiYmRkyaNMkddJR83205P+wo9d7vuOMOkZCQILRarejRo4e44447PNaZUep9u3z55Zdi8ODBQqfTif79+4u//e1vHseV+ntOCCHWrFkjALR5DaV/371JEkIIWZqUiIiIiLwgoMfsEBERkfIx7BAREZGiMewQERGRojHsEBERkaIx7BAREZGiMewQERGRojHsEBERkaIx7BAREZGiMewQkd9YsWIFTCZTt7/PiRMnIEkScnNzu/29iKj7MewQkddUVlbi4YcfRnJyMnQ6HeLj4zF16lRs27at294zNTUVkiRBkiSEhoZixIgR+OSTT9r9nKSkJJSWlmLw4MHdVhcReQ/DDhF5zcyZM7F371689957+PHHH/HFF19gwoQJqKqq6tb3fe6551BaWoq9e/di9OjRuOOOO7B9+/Y2z21uboZarUZ8fDw0Gk231kVE3sGwQ0ReUVNTg61bt+JPf/oTJk6ciJSUFIwZMwZZWVm4+eabAQCvvPIKhgwZgtDQUCQlJeGXv/wlLBZLu9f9/PPPMWLECOj1eqSnp2Px4sWw2Wwe54SHhyM+Ph59+/bFsmXLEBwcjC+//BKAs+XnD3/4A+655x4YDAbMmzevzW6sgwcP4sYbb4TBYEB4eDiuu+46HDt2zH38nXfewYABA6DX69G/f3/85S9/6aKvHBFdKYYdIvKKsLAwhIWFYdWqVbBarW2eo1Kp8Prrr+PgwYN47733sGHDBvz617++6DW3bt2Ke+65B48++igOHTqEv/71r1ixYgWef/75i36ORqNBUFAQmpub3a+9/PLLyMjIwN69e/H0009f8DnFxcUYN24cdDodNmzYgJycHNx///3uUPXBBx/gmWeewfPPP4/Dhw/jhRdewNNPP4333nuvo18eIupOcm+7TkSB4z//+Y+IiIgQer1eXH311SIrK0vs27fvoud/8sknIioqyv18+fLlwmg0up9PmjRJvPDCCx6f869//UskJCS4n6ekpIhXX31VCCGE1WoVL7zwggAgvvrqK/fxW2+91eMaBQUFAoDYu3evEEKIrKwskZaWJpqbm9uss1evXuLDDz/0eO0Pf/iDGDt27EXvjYi8RxJCCLkDFxEFjqamJmzduhU7duzAt99+i++//x7vvPMO7r33Xqxbtw5LlizBDz/8ALPZDJvNhqamJtTX1yMkJAQrVqzAY489hpqaGgBATEwMLBYL1Gq1+/p2u93jc1JTU1FaWoqgoCA0NTUhLCwMWVlZeOqppwA4u7Hmzp2L3/3ud+5rnDhxAmlpadi7dy+GDRuGGTNmICYmps2Wmvr6eoSFhSE4OBgq1dnGcpvNBqPRiPLy8m76ShJRR3H0HRF5lV6vx/XXX4/rr78eTz/9NB544AEsWrQIEyZMwI033oiHH34Yzz//PCIjI/Hdd99hzpw5aG5uRkhIyAXXslgsWLx4MW677bY238flySefxL333ouwsDDExcVBkiSPc0NDQ9utOTg4+KLHXGOK/v73vyMzM9Pj2LkhjIjkw7BDRLIaOHAgVq1ahZycHDgcDvz5z392t5B8/PHH7X7uiBEjcOTIEfTu3bvd86Kjoy95TnuGDh2K9957Dy0tLQgKCvI4FhcXh8TERBw/fhyzZs3q9HsQUfdh2CEir6iqqsLPf/5z3H///Rg6dCjCw8Oxe/duvPjii7jlllvQu3dvtLS04I033sBNN92Ebdu24e233273ms888wxuvPFGJCcn42c/+xlUKhX27duHvLw8/PGPf+yy2hcsWIA33ngDd955J7KysmA0GrFjxw6MGTMG/fr1w+LFi/HII4/AaDRi2rRpsFqt2L17N86cOYOFCxd2WR1E1DmcjUVEXhEWFobMzEy8+uqrGDduHAYPHoynn34ac+fOxZtvvomMjAy88sor+NOf/oTBgwfjgw8+wJIlS9q95tSpU/HVV1/hv//9L0aPHo2rrroKr776KlJSUrq09qioKGzYsAEWiwXjx4/HyJEj8fe//93dyvPAAw/gnXfewfLlyzFkyBCMHz8eK1asQFpaWpfWQUSdwwHKREREpGhs2SEiIiJFY9ghIiIiRWPYISIiIkVj2CEiIiJFY9ghIiIiRWPYISIiIkVj2CEiIiJFY9ghIiIiRWPYISIiIkVj2CEiIiJFY9ghIiIiRfv/PTAzkmh+HF0AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['SalePrice'].min(), df['SalePrice'].max()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eUCWE5DBcxdi",
        "outputId": "5d53a4ef-c204-4c70-c73d-d3e1b72c3bfe"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(34900, 755000)"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Split the data into X (features) and y (target)\n",
        "X = df.drop('SalePrice', axis=1)\n",
        "y = df['SalePrice']\n",
        "\n",
        "# Split the data into training and testing sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "# Define column transformer\n",
        "categorical_cols = ['MSZoning', 'Street', 'LotShape', 'LandContour', 'Utilities', 'LotConfig',\n",
        "                    'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType', 'HouseStyle', \n",
        "                    'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType', 'ExterQual',\n",
        "                    'ExterCond', 'Foundation', 'BsmtQual', 'BsmtCond', 'BsmtExposure', 'BsmtFinType1',\n",
        "                    'BsmtFinType2', 'Heating', 'HeatingQC', 'CentralAir', 'Electrical', 'KitchenQual',\n",
        "                    'Functional', 'FireplaceQu', 'GarageType', 'GarageFinish', 'GarageQual', 'GarageCond',\n",
        "                    'PavedDrive', 'SaleType', 'SaleCondition']\n",
        "\n",
        "numeric_cols = [col for col in X_train.columns if col not in categorical_cols]\n",
        "\n",
        "ct = ColumnTransformer(\n",
        "    [('encoder', OneHotEncoder(handle_unknown='ignore'), categorical_cols),\n",
        "     ('scaler', StandardScaler(), numeric_cols)],\n",
        "     remainder='passthrough')\n",
        "\n",
        "X_train = ct.fit_transform(X_train)\n",
        "X_test = ct.transform(X_test)\n"
      ],
      "metadata": {
        "id": "O6rZdSSzdAfP"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "rf = RandomForestRegressor(n_estimators=100, random_state=42)\n",
        "rf.fit(X_train, y_train)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "PJ1XGjREdij9",
        "outputId": "854429fa-708d-49ae-ea42-28f3d6573d44"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.metrics import mean_squared_error\n",
        "\n",
        "# Train a random forest model\n",
        "rf = RandomForestRegressor(n_estimators=100, random_state=42)\n",
        "rf.fit(X_train, y_train)\n",
        "\n",
        "# Evaluate the model on the testing set\n",
        "y_pred = rf.predict(X_test)\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "print(f\"Mean squared error: {mse:.2f}\")\n",
        "y_pred = rf.predict(X_test)\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "print('Mean Squared Error:', mse)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GG7xkYC9dRfP",
        "outputId": "36361933-6774-46f3-e5e3-a4970e91ebec"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean squared error: 844422463.79\n",
            "Mean Squared Error: 844422463.7877846\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.ensemble import GradientBoostingRegressor\n",
        "\n",
        "# Train a linear regression model\n",
        "lr = LinearRegression()\n",
        "lr.fit(X_train, y_train)\n",
        "y_pred = lr.predict(X_test)\n",
        "mse_lr = mean_squared_error(y_test, y_pred)\n",
        "print(f\"Linear regression MSE: {mse_lr:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dMpuOuBBk1Z9",
        "outputId": "fa935155-4072-4eb2-b837-51736686aad7"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Linear regression MSE: 878090644.75\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Train a decision tree regression model\n",
        "dt = DecisionTreeRegressor(random_state=42)\n",
        "dt.fit(X_train, y_train)\n",
        "y_pred = dt.predict(X_test)\n",
        "mse_dt = mean_squared_error(y_test, y_pred)\n",
        "print(f\"Decision tree MSE: {mse_dt:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tTxCYMTDk2xK",
        "outputId": "abfbeeb3-ecc6-4a58-8788-cc133b008d4d"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Decision tree MSE: 1724993741.59\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Train a gradient boosting regression model\n",
        "gb = GradientBoostingRegressor(n_estimators=100, random_state=42)\n",
        "gb.fit(X_train, y_train)\n",
        "y_pred = gb.predict(X_test)\n",
        "mse_gb = mean_squared_error(y_test, y_pred)\n",
        "print(f\"Gradient boosting MSE: {mse_gb:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bxHxurlqk3v7",
        "outputId": "dd1ea139-9070-4116-82ab-22c1bcdcf340"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Gradient boosting MSE: 748799122.24\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.svm import SVR\n",
        "\n",
        "# Train a support vector regression model\n",
        "svr = SVR(kernel='rbf')\n",
        "svr.fit(X_train, y_train)\n",
        "y_pred = svr.predict(X_test)\n",
        "mse_svr = mean_squared_error(y_test, y_pred)\n",
        "print(f\"SVR MSE: {mse_svr:.2f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vGVChr1ZlXAr",
        "outputId": "9b78b93d-bb8e-4e1c-893f-e67e692e9656"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SVR MSE: 7854496821.66\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from xgboost import XGBRegressor\n",
        "\n",
        "# Train an XGBoost regression model\n",
        "xgb = XGBRegressor(n_estimators=100, learning_rate=0.1, random_state=42)\n",
        "xgb.fit(X_train, y_train)\n",
        "y_pred = xgb.predict(X_test)\n",
        "mse_xgb = mean_squared_error(y_test, y_pred)\n",
        "print(f\"XGBoost MSE: {mse_xgb:.2f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5w9yosI_lY6j",
        "outputId": "d6b6165e-7ca1-4210-f834-15768f0bf4c5"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "XGBoost MSE: 654289580.68\n"
          ]
        }
      ]
    }
  ]
}