PB2204/Medical-Insurance-Cost-Prediction

This Medical Insurance Cost Prediction AI Model Will Predict The Cost Of Any Medical Insurance With Around 84.26 % Accuracy...

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Experimental

Implements a Random Forest Regression model trained on preprocessed insurance data to enable cost predictions across diverse patient profiles. The project includes end-to-end preprocessing pipelines and deploys the trained model via Streamlit, providing an interactive web interface for real-time prediction queries without requiring local setup.

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Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 4 / 25

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Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Jun 08, 2024

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