Heart Disease Risk Predictor (Classification - Logistic regression, Random Forest, XGBoost, AdaBoost)

Developed 4 machine learning models to deal with the class imbalanced dataset with cost-sensitive learning; logistic regression gave the best results with a recall of 82% and Area Under the Curve (AUC) of 83%