This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here I am using variour machine learning algorithms like Support Vector Machines(SVM), Random Forest Classifier, Decision Tree Classifier, K-Nearest Neighbours(KNN), Logistic Regression, Logisitic Regression with Cross Validation(CV), Naive Bias, and XGBoost Classifier. I have wrtten a paper in this topic please check it out. The link of the paper is given below.
Logistic Regression gives the best accuracy
Dataset is present in Kaggle
Link: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database?resource=download
Link:
Link: https://diabetes-prediction-web-app-ankush-mallick.streamlit.app/