Abstract
—Diabetes is a chronic disease that has affected a huge mass of people worldwide. Diabetes mellitus or simply Diabetes is caused due to increase in the level of blood glucose. Weight, inactivity, family history, Race, age, gestational diabetes, high blood pressure, abnormal cholesterol, etc. are some of the causes of diabetes among most of the people. Diabetes is one of the most fatal and common disease. Machine Learning is transforming all spheres of our life, including the healthcare sector. Application of Machine Learning has a potential to vastly enhance the diabetes care methodology and also improve its efficiency. In case of diabetes, Machine Learning plays a crucial role in the diagnosis process. Using Machine Learning algorithms for diagnosis of diabetes can give quick and accurate results. Though the accuracy as of now is not that good we can try to improve on it. In this study, we have taken PIMA Indian dataset that is from National Institute of Diabetes and Digestive and Kidney Diseases. We have implemented algorithms like Logistic Regression, Random Forest and KNN on this dataset.
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