/Type2-Diabetes-prediction

Diabetes is defined as a chronic condition that affects the way the body processes blood sugar (glucose). We consider the mellitus here. After several researches it has been found that some parameters are directly responsible for the mellitus to occur. By using the data of the people with diabetes and without diabetes, a dataset is created. This is used to build a prediction model to predict if a person is sufferring from diabetes or not.

Primary LanguagePython

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