Diabetes-Prediction-using-machine-learning

• The project used machine learning classifiers to compare and analyze accuracy of different machine learning classifier models.
• The proposed method uses Logistic Regression, KNN, Naive Bayes, SVM, Decision Tree and Random Forest classifiers.
• The result shows that the Random Forest achieved highest accuracy of 81.506.
• The proposed machine learning model is deployed into a webpage using streamlit in python

Web Intefrace Cretaed using Streamlit