GitHub - nebabtew/Insurance-claim-predictor: 5 regression models with GridSearchCV and cross-validation on insurance cost data. Best model hit adj. R² of 0.77. Built with scikit-learn and deployed via Streamlit.

Name		Name	Last commit message	Last commit date
.claude		.claude
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
CLAUDE.md		CLAUDE.md
analysis_model.ipynb		analysis_model.ipynb
app.py		app.py
bestmode.pkl		bestmode.pkl
insurance.csv		insurance.csv
label_encoders_diabetic.pkl		label_encoders_diabetic.pkl
label_encoders_gender.pkl		label_encoders_gender.pkl
label_encoders_smoker.pkl		label_encoders_smoker.pkl
scaler.pkl		scaler.pkl

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5 regression models with GridSearchCV and cross-validation on insurance cost data. Best model hit adj. R² of 0.77. Built with scikit-learn and deployed via Streamlit.

data-science healthcare machinery python regression-models scikit-learn

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