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

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

This Repository Contains Different Machine Learning and Important Concepts

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)

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…

Regression models to estimate happiness score of a country

Modeling Portfolio (Python based)

Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard

Determination of major drivers of sales and forecasting sales for next 6 periods

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

Various projects, spanning from exploratory data analysis to results

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.

ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression