
FIFA 2026 World Cup ML Simulator
End-to-end ML pipeline on ~47,000 historical matches. Engineered 7 features across 3 classifiers, reaching 59.18% accuracy with XGBoost, then ran 10,000 Monte Carlo bracket simulations.
- Python
- XGBoost
- scikit-learn
- pandas
- NumPy
- Matplotlib
- Seaborn





