A diabetes detection web app for women made using python and streamlit that takes in inputs such as glucose, insulin levels, age etc and predicts if the person is diabetic or not. • Prediction is done by creating a supervised machine learning model using support vector machines (SVM) • Model is trained using diabetes.csv dataset, trained and created on jupyter notebook using python • Front end UI is created using streamlit
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Diabetes prediction using support vector classifier deployed on streamlit cloud
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