Diabetes predictor for women

This tool aims to predict diabetes in women based based on the various input parameter. This can help the medical community to identify at-risk individuals and prevent diabetes from developing. This machine learning model was trained on a diabetes dataset present on Kaggle and uses logistic regression as the primary machine learning algorithm. The model was able to achieve an accuracy of 76% which is a good performance.