Technical project
Diabetes Classification-Second Edition-
A reproducible educational ML classification pipeline with XGBoost, class-imbalance handling, SHAP explanations, automated tests, CI, and an interactive Streamlit demo.
By Alaa Madi · Project record updated
Implementation areas and tools
- Python
- XGBoost
- SHAP
- scikit-learn
- Streamlit
Inspect the work
Explore the linked source repository for implementation details and documented validation. View on GitHub.
This overview describes the implementation. It does not claim measured revenue, time savings or performance improvements for a client.
Discuss a related project
Tell me which part of this work relates to your problem and what you need your users or team to accomplish.