Consists of diabetes detection using Gradient Boosting algorithm with a fully functional GUI. This project is a machine learning demonstration of a detection problem statement where data of various patients having diabetes or not has been used. The model works fine with a good accuracy of 88.2%, hence providing a good estimate of whether the data provided would be of a diabetic human being or not. Standard Prima dataset has been used which is universally accepted for Machine Learning problem statements.
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