ML This repository is a collection of notes, code, and examples I gathered whilst learning machine learning. Repository Structure Each folder corresponds to a course or topic and contains: Notes and explanations Code samples and exercises Current Resources Complete-ML-Course-Part1 ↳ Based on Complete ML Course – Part 1 Supervised ML – Regression & Classification ↳ Based on Machine Learning Specialisation – DeepLearning.AI (YouTube Playlist)