Learning Path

Machine Learning Overview → Machine Learning Project Workflow

A structured path for CS students to understand core machine learning concepts, covering supervised, unsupervised, and reinforcement learning, along with essential practices like train/test splits and overfitting. It builds on programming and probability fundamentals, progressing from basic definitions to intermediate analysis techniques such as bias-variance tradeoff.