BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

This Repository Contains Different Machine Learning and Important Concepts

Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.

Model Building and Testing using Ridge, Lasso and ElasticNet Methods

In this repo I have implemented a machine learning project which predicts the house price in Boston. I have covered these topics : Exploratory Data Analysis, Feature Engineering including feature scaling, transformation into normally distributed data, multicollinearity, feature selection. I have trained the dataset using Linear Regression, Ridge…

Kaggle Competition : Predicting house prices using a collection of advanced regression techniques and data visualization with plotly

Creating Regression model using different techniques that will predict the price of house given the number of bedrooms,size of living area,size of basement,number of floors,year it was built,year it was renovated,the location, availability waterfront and view,the grading of the house the size above and the condition of the house. I will create t…

Project work related to various hackathons

HackerEarth Machine Learning Challenge to Predict the employee attrition rate in organizations. This repository contains my solution of achieving rank 300 (best 161)

This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using ElasticNet regression of l1_ratio 0.5. It also compares the predicted values with original outputs and for different alphas.

ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression

Various projects, spanning from exploratory data analysis to results

Modeling Portfolio (Python based)

HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

Regression models to estimate happiness score of a country

Meu quinto miniprojeto em que faço uma análise da qualidade do vinho usando modelos de machine learning de regressão linear e de regressão logística

Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard