Ridge regression (sklearn)

Small notebook demo: synthetic data, Ridge regression, metrics, and a simple plot.

Setup

python -m venv .venv
.venv\Scripts\activate   # Windows
# source .venv/bin/activate   # Linux / macOS
pip install -r requirements.txt

Run

Open ridge-regression.ipynb in Jupyter or VS Code. The notebook is kept without stored outputs so Git diffs stay small; run all cells locally to regenerate figures.

Git hygiene

• Do not commit .env, API keys, or large datasets (see .gitignore).
• Prefer pip freeze > requirements.lock.txt in CI or release branches if you need exact pins.