High performance Python GLMs with all the features!

Compute the likeliness of an image region to vessels or ridges

This is the final project for the course CSCI-GA-3033-018 Geometric Modeling at NYU

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

The objective of the project is to perform advance regression techniques to predict the house price in Boston.

Practicum Workshop

Ridge Regression Implementation on housing excel csv Dataset

Predict the vehicle price from the open source Auto data set using linear regression. In this data set, we have prices for 205 automobiles, along with other features such as fuel type, engine type,engine size,etc.

LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

Penalized precision matrix estimation via ADMM

The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software

OLS (twoway clustered standard errors), Imperfect Multicollinearity (Ridge and PCA), ARMA(p,q) with Bootstrap

A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices

Airline Fare Prediction using Regression

This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !

Norm Constrained Generalised Linear Model using numpy, numba and scipy.