Medical Appointment No-Show Prediction & Demand Forecasting

Project Overview

This project focuses on predicting patient attendance and optimizing scheduling using data-driven insights to improve operational efficiency and care delivery.

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Deliverables

File	Description
medical_noshow_notebook.ipynb	Full EDA → Preprocessing → Classification → Forecasting notebook
app.py	Streamlit multi-page web application
Models/	Saved model files (.pkl)

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Quick Start

Install dependencies

pip install streamlit pandas numpy scikit-learn xgboost lightgbm imbalanced-learn matplotlib seaborn joblib

Run the Streamlit App

streamlit run app.py

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