nishnarudkar/Interpretable-Machine-Learning-System-for-Parkinson-s-Disease-Detection-from-Speech-Biomarkers
An end-to-end MLOps pipeline for detecting Parkinson's disease using speech biomarkers with explainable AI (XAI) capabilities. This system combines machine learning, model interpretability (SHAP), experiment tracking (MLflow), data versioning (DVC), and automated deployment (Docker + Jenkins).
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Mar 21, 2026
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