Diabetes-Detection:The goal of this project was to detect Diabetes using XGBoost based on the information of more than 70,000 patients through the questionnaire that they filled out for the Organization for Disease Control and Prevention.
Predicting-risk-for-Diabetes-based-in-the-urine-sample:This project uses National Health and Nutrition Examination Survey (NHANES) data to find correlation, and design a model for diabetes monitoring/detection based on the urine sample.
Diabetis-Detection:Machine Learning Practice - Diabetes Detection using Python Jupyter Notebook, PIMA Diabetes data etc
