Diabetic Patient Readmission Prediction System

This project builds a machine learning pipeline to predict whether a diabetic patient will be readmitted to the hospital after discharge. The system processes raw hospital data, performs extensive preprocessing and feature engineering, and evaluates several classification models to determine the most effective predictor.

The goal is to help healthcare systems identify high-risk patients early, allowing hospitals to take preventive actions that reduce readmission rates and improve patient care.