PierreExeter/MLOps-Pipeline-Deployment

A deployed machine learning model that predicts patient medical charges based on demographic and health data. Features a Flask API, a web front-end, and is containerized with Docker for deployment on Azure.

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Language

CSS

License

GPL-3.0

Last pushed

Oct 24, 2025

Commits (30d)

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