This project builds a diabetes prediction web app using machine learning and the PIMA Indian Diabetes dataset. It predicts the likelihood of diabetes based on factors like glucose levels, BMI, and insulin. The app features a user-friendly interface built with Streamlit for easy access.
Task: Find and download the dataset from a reliable source (e.g., Kaggle).
Verify the dataset has all necessary attributes (Pregnancies, Glucose, BloodPressure, etc.).
Ensure the dataset is in a usable format (CSV, etc.).
Deadline: End of Week 1
Task: Find and download the dataset from a reliable source (e.g., Kaggle).
Verify the dataset has all necessary attributes (Pregnancies, Glucose, BloodPressure, etc.). Ensure the dataset is in a usable format (CSV, etc.). Deadline: End of Week 1