GitHub - 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.

Name		Name	Last commit message	Last commit date
Medical Insurance Cost Estimation Using Machine Learning.ipynb		Medical Insurance Cost Estimation Using Machine Learning.ipynb
insurance.csv		insurance.csv
insurance_model.joblib		insurance_model.joblib
main.py		main.py
requirements.txt		requirements.txt
scaler.joblib		scaler.joblib

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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.

accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression

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