This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Using ML to predict house price

Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).

The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication

python module for wild cluster bootstrapping

Python for data analysis course

Python programs from Introduction to Artificial Intelligence (2024)

An introduction to machine learning

Predicting IPL Cricket Players' Auction Price and analysing if they are over / under priced.

project for data science

implementing essential Machine learning algorithms from scratch

Content from the AI laboratory

Basic data procesing on Honey dataset

Benchopt benchmark for GLMs

Traditional machine learning (ML) demonstrations for data analysis and predictive modeling.

This project lets you learn who to implement a linear regression to predict the price of a car based on its mileage. (based on the 42 school subject)

Linear regression options and insights using Python and PyShiny

Computation of training set XTX and XTY in a cross-validation setting using the fast algorithms by Engstrøm (2024).