Kaggle NCAA March Madness Prediction
Published:
Participated in the Kaggle NCAA March Madness prediction competition, building machine learning models to forecast tournament outcomes. Achieved a Top 40%+ ranking through systematic feature engineering and model iteration.
Key Work:
- Feature engineering from historical tournament data
- Multiple model experimentation and ensemble approaches
- End-to-end competition pipeline from data processing to submission
Tech Stack: Python, scikit-learn, pandas