# 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](Housing-Price-Regression.md) — end-to-end regression pipeline, test R² 0.72
- [MNIST Classification](MNIST-Classification.md) — binary/multiclass/multilabel/multioutput, SGD vs Random Forest
- [Linear Models Deep Dive](Linear-Models-Deep-Dive.md) — 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.