End-to-end Machine Learning project for customer credit risk prediction using PostgreSQL, XGBoost, FastAPI, and GitHub.
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Updated
Jun 18, 2026 - Jupyter Notebook
End-to-end Machine Learning project for customer credit risk prediction using PostgreSQL, XGBoost, FastAPI, and GitHub.
RNN based prediction of customer churn at a supermarket
Universal checkpointing for C# machine learning. Persist full training states (Weights + Optimizer + Hyperparameters) to File System, PostgreSQL, or Cloud Blobs. Manage thousands of models by GUID with zero framework lock-in—built for custom training loops first.
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