A Formula 1 prediction engine combining Monte Carlo simulation with Machine Learning for Grand Prix outcomes.
- Grand Prix Centric: Organizes data by Season and Round.
- ML / Monte Carlo: Uses Machine Learning to predict probabilistic outcomes (Win/Podium %).
- SHAP Explainability: Explains why a driver is predicted to finish in a certain position.
- Sprints: Full support for Sprint Weekends.
git clone https://github.com/BLShaw/f1-predictor.gitpip install -r requirements.txtstreamlit run app.py
MIT License.