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Heart Disease Prediction System Developed a machine learning model to predict heart disease using 13 key medical parameters (e.g., BP, cholesterol, chest pain type). Achieved 85% accuracy, enabling early detection and intervention strategies. Utilized algorithms like Logistic Regression, SVM, and Random Forest.

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Heart-Disease-Prediction

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Heart Disease Prediction System Developed a machine learning model to predict heart disease using 13 key medical parameters (e.g., BP, cholesterol, chest pain type). Achieved 85% accuracy, enabling early detection and intervention strategies. Utilized algorithms like Logistic Regression, SVM, and Random Forest.

data-science machine-learning random-forest naive-bayes healthcare logistic-regression svm-classifier medical-data heart-disease-prediction

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