CardioPredict

CardioPredict is a project focused on building machine learning models to predict heart disease risk based on health parameters. It includes four models: Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine. The models are trained using the MIT-BIH dataset to provide data-driven insights for early heart disease detection and preventive care.