GitHub - mbabar1100/Machine_Learning_Based_Prediction_of_Heart_Disease: This project explores heart disease, the leading global cause of death, using a dataset to understand key features through exploratory data analysis (EDA) and predictive modeling. It applies classification algorithms (Scikit-learn, CatBoost, XGBoost, LightGBM) and includes model explainability.

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This project explores heart disease, the leading global cause of death, using a dataset to understand key features through exploratory data analysis (EDA) and predictive modeling. It applies classification algorithms (Scikit-learn, CatBoost, XGBoost, LightGBM) and includes model explainability.