Prediction of Diabetic condition using Different Machine Learning Approaches and Different Datasets

Diabetes is a insulin hormone disorder in our bodies, which, when it doesn't work well or efficiently, causes our blood sugar levels to rise. Numerous people experience high blood sugar levels, which have a detrimental impact on other human organs. An unhealthy lifestyle, poor eating habits, and a lack of exercise are the root causes of this condition. Other complications like coronary failure, blindness, urinary organ disease, etc. will also result from this. Diagnostic facility are used to diagnose the disease and for health reports. This results in a time and money loss in the process. This paper explains that machine learning techniques could be used instead to detect diabetes quickly with accuracy so early detection would help control its aftereffects through preventive measures taken at the right time while saving both money and time compared to traditional methods.