A clean, minimal machine learning project that uses regression to predict housing prices based on features like number of rooms, location, and more. Built from scratch to demonstrate foundational ML skills including data cleaning, exploratory analysis, model training, and evaluation.
using uv for speed, run source .venv/bin/activate and uv pip install -r requirements.txt to get started quickly.