Presenting an all-in-one Capstone project to learn machine learning, a sample setup with SKLearn.
This project aims to develop a predictive model to assess the risk of diabetes in patients using multiple health metrics. Diabetes is a significant global health issue, and early prediction can lead to better management and prevention strategies. The proposed approach employs machine learning algorithms to analyze patient data and predict diabetes risk, thereby contributing to preventive healthcare. Diabetes dataset (https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database). The primary task is to classify individuals as at-risk or not at-risk for diabetes using input features such as age, BMI, blood pressure, and glucose levels.
Colab notebook:
Project summary slides: