nealmick/Sports-Betting-ML-Tools-NBA
📦 Open Source Projectnealmick
A comprehensive Python toolkit for predicting NBA game outcomes and identifying sports betting arbitrage opportunities.
The Sports-Betting-ML-Tools-NBA repository is a specialized framework for sports analytics enthusiasts and data scientists. It provides the necessary plumbing to ingest NBA game data, preprocess statistics, and train deep learning models using Keras and TensorFlow. By automating the analysis of betting odds, the tool assists in identifying potential value bets and arbitrage opportunities where market inefficiencies exist. The project structure includes Django integration, allowing for a structured backend approach to managing betting data and model outputs. It serves as a practical implementation of machine learning in the high-stakes domain of sports wagering, focusing on feature engineering, model evaluation, and predictive accuracy for professional basketball games.
💡Highlights
- ├─Keras & TensorFlow model training
- ├─NBA betting arbitrage analysis
- └─Django-based data management
🎯Für
- ├─Sports data analysts
- ├─Machine learning engineers
- └─Betting strategy developers