nadhif-royal/HeartDiseasePredictionML

This project aims to predict heart disease using machine learning models trained on clinical data. We explore different classification models to find the most effective approach. Models Used: Logistic Regression, K-Nearest Neighbors (KNN) (Best Performance: 97%), Random Forest

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Maturity 9 / 25
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Jupyter Notebook

License

MIT

Last pushed

Apr 12, 2025

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