End-to-end machine learning pipeline to predict health risk based on patient clinical data. Covers data cleaning, outlier handling, feature engineering, model training, evaluation, and model comparison across multiple algorithms.
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End-to-end machine learning pipeline to predict health risk based on patient clinical data. Covers data cleaning, outlier handling, feature engineering, model training, evaluation, and model comparison across multiple algorithms.
varun-varada/CardioCareML
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End-to-end machine learning pipeline to predict health risk based on patient clinical data. Covers data cleaning, outlier handling, feature engineering, model training, evaluation, and model comparison across multiple algorithms.
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