Enterprise-grade ML framework showcasing advanced Scikit-Learn implementations with production-ready pipelines, algorithm-optimized synthetic data generation, comprehensive evaluation suite with statistical testing, custom transformers, ensemble methods, and real-world industry applications across healthcare, finance, and manufacturing domains.
python docker data-science machine-learning scikit-learn ci-cd artificial-intelligence fintech classification feature-engineering jupyter-notebooks hyperparameter-tuning model-evaluation fraud-detection predictive-maintenance ensemble-methods mlops healthcare-ai pipeline-architecture custom-transformers
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Updated
Sep 1, 2025 - Jupyter Notebook