Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

A collection of study materials for OMSCS CS7641 Machine Learning.

ML-algorithms from scratch using Python. Classic Machine Learning course.

Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.

Materials for Yandex Data School course "Applied Statistics in Machine Learning"

Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions

Repository of the Tranferlab Practical Anomaly Detection workshop

An introductory Swahili course to building Machine learning Models with Python

Machine Learning A-Z: AI, Python & R

This collection provides an extensive list of free online courses for IT students, developers and enthusiasts.

Material for the BIOF509 course on Applied Machine Learning with Python

🎓 Andrew Ng's machine learning course (matlab)

Machine Learning Jupyter Notebooks

My mini-projects for practical learning machine learning course on the Udacity

This project repository comprises an exploratory data analysis (EDA) of the "Breast Cancer Gene Expression Profiles (METABRIC)" dataset, employing Python libraries for data manipulation and visualization. It includes data loading, preparation, and EDA tasks, aiming to gain insights into breast cancer data.

This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.

A semester course of machine learning AT Computer Science and Information Engineering in National Taiwan University.

Exercises, notes and insights from 'Master statistics & machine learning: intuition, math, code' udemy course.

This repository hosts a case study on Transfer Learning aimed at improving the accuracy of metal nut inspection systems. The project explores the practical application of Transfer Learning methods to optimize quality control in the manufacturing industry, providing valuable insights into their effectiveness and potential benefits.

This GitHub repository hosts a bike rental demand prediction project. It utilizes Python libraries for data analysis and builds regression models to forecast demand based on various attributes. The project covers data preprocessing, exploratory analysis, and model evaluation.