KU
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.