Diabetes Data Analysis and Machine Learning Based Prediction Model on Streamlit Web App

The condition known as diabetes is brought on when the immune system, which protects us from infection, targets and kills the pancreatic cells that produce insulin. This is the pathogenesis of type 1 diabetes. When cells in the muscles and liver grow resistant to insulin, type 2 diabetes develops. Undiagnosed diabetes can cause dangerous illnesses including renal damage and heart attacks. In order to discover and analyse gestational diabetes, there is a need for sound research and the improvement of learning models. This significant flaw is been resolved by advances in machine learning techniques. The goal of this study is to create a system that, using machine learning algorithms, can more accurately forecast a patient's risk of developing diabetes at an early stage. The suggested model yields the most accurate diabetic prediction results, and the findings shown that the prediction system is capable of accurately, quickly, and most significantly, instantaneously predicting the diabetes illness. Sklearn has been utilized by us to train, test, and determine the model's correctness,IJSRED - International Journal of Scientific Research and Engineering Developmen