This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.

It is an e-commerce web portal for farmers and customers. Farmers can list there crops with quantity and base price. Customers can bid on a crop with there prices. Farmer can sell there crop to best bid. Framer can also predict the production of the crop of a particular season, year, weather, and area.

Time-series analysis of the air traffic on three European countries (Spain, Germany and Italy).

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Python scripts to practice advanced features of the language in the field of AI

FAST Change Point Detection in R

Fast Best-Subset Selection Library

A Data Science tool for construction companies. Uses Multiple Linear Regression to predict profits based on suppliers, location, sq. footage, etc. Optimized by Gradient Descent. Built in Python.

Projeto da disciplina de Inteligência Artificial do curso de Sistemas de Informação na UNI7, no qual é implementado o algoritmo de Regressão Linear.

Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

Predicting the amount of streams a song will get based on various features given through the data.

ML assignment to implement Principal Component Analysis and Linear Regression.

Some Data Science examples using Groovy

This is a quick ML project for predicting house prices with linear reggression!

This project will cover some of the basic Artificial Intelligence along the course using Python. Mainly will use Numpy to build everything. I write all the files in Python and it refers back to the school labs at Dalhousie University.

This repository is for the ICML'24 paper: "Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression"

Heart Disease Predictor using Linear regression, Logistics and Support Vector Algorithm in Python.