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Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning

A machine learning project to predict medical insurance charges based on user features like age, BMI, and smoking status. Used Gradient Boosting Regressor for accurate cost prediction. Streamlit app enables real-time, interactive user input and predictions. Built with Python, Pandas, scikit-learn, and joblib.

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Jupyter Notebook99.7%Python0.3%

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Created June 3, 2025
Updated July 17, 2025
Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning | GitHunt