Project Overview

This project analyzes patient healthcare data to predict the length of hospital stay using machine learning techniques.

Objectives

• Explore patient demographics and medical features
• Identify factors affecting hospital stay duration
• Develop predictive models for stay estimation

Models Used

• Linear Regression
• Random Forest
• Gradient Boosting

Evaluation

Model performance measured using accuracy and error metrics.

Tools

Python, Pandas, Scikit-learn, Matplotlib