Diabetic And Heart Disease Prediction System WebApp Using Machine Learning Link
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An analysis project for predicting the Diabetic and Heart Disease by the help of the trained Machine Learning Model.
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That takes different inputs from the user and the trained model predict the result on the basic of the data.
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It involves building a Support Vector Machine model for the Diabetic Prediction, and we use Logistic Regression model for Heart Disease prediction.
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Achieved accuracy of 80.55% to predict Diabetic and 82.48% accuracy for Heart Disease ML model.
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Machine Learning Using Python, Spyder, Github and Streamlit for Deployment of Web App.
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Please Do Visit Web site for more info link
