Full-stack ML execution pipeline integrating ESPN and Odds API background data endpoints. Deploys an ensemble stacking meta-learner model trained over 5 seasons of professional data with specialized local file-caching decorators.
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A Streamlit web app that predicts NBA game outcomes using ensemble machine learning models trained on historical data and live odds.
Built for: Data scientists and sports bettors