ML-portfolio/docs/Home.md

ML Portfolio — Documentation

Deep dives into each project: the actual approach, decisions made, and results — illustrated with real plots pulled from the notebooks, not just described in text.

Projects

• Housing Price Regression — end-to-end regression pipeline, test R² 0.72
• MNIST Classification — binary/multiclass/multilabel/multioutput, SGD vs Random Forest
• Linear Models Deep Dive — normal equation through regularization, built from scratch

Each page walks through the reasoning behind the approach, not just the final numbers — the goal is to show how the conclusions were reached, not just what they were.