Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Comparison of the stochastic gradient descent based on multiple linear regression

machine learning regression

The respository is for Machine learning basiscs.

Implementation of Different Machine learning Algorithm with Sample Datasets in Python3

A study on 'a titanic probability' via kaggle's dataset.

The NowCast System - Predictive modeling of water quality at California beaches

Correlation and Regression algorithms using Python

Repository containing Machine Learning projects in Python and R completed by me for self learning purpose. The Projects are presented in the form of python(.py) files , R(.R) files and the output is visualized using matplotlib and ggplot libraries and presented as pdf file.

supervised machine learning

All my regression models

Multiple linear regression model implementation with automated backward elimination (with p-value and adjusted r-squared) in Python and R for showing the relationship among profit and types of expenditures and the states.

Machine Learning tutorial on Multiple Linear Regression with python

Selecting the best startup to invest by analyzing the profit and its expense in different fields using the Multiple Linear Regression

Life-Expectancy-Prediction Using Machine Learning multiple linear regression model to predict the life expectancy