Type2-Diabetes-prediction
Abstract- This project aims to make a Data Science Model to Predict Type-2 Diabetes. India is home to over 60 million adults with diabetes (7.8% of the population), of which more than 30 million are undiagnosed or untreated, thus increasing the risk of developing complications and premature mortality. Diabetes is a growing threat nowadays, one of the reasons being that there is no perfect cure for it.
Libraries used-Numpy, Pandas, Matplotlib, Scikit-learn, Seaborn
Algorithms used- Logistic Regression, Support Vector Machine, KNN, Random Forest Classifier, Naivye Bayes, Gradient Boosting
Model Evaluation methods used- Accuracy Score, ROC AUC Curve, Cross Validation, Confusion Matrix