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Developed an effective Machine Learning Model for predicting Diabetic and Heart Disease with the help of trained ML Model. It involves building a Support Vector ML model for Diabetic and Logistic Regression model for Heart Disease prediction. Achieved accuracy of 80.55% to predict Diabetic and 82.48% accuracy for Heart Disease model.