AhsanAkhlaq/CreditScoringModel

A machine learning web application that predicts the likelihood of credit card default using a Random Forest model trained on the UCI Credit Card dataset. Built with FastAPI for the backend and a clean HTML/CSS frontend,Fully containerized with Docker for easy deployment and demo-ready for showcasing model predictions.

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Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 12 / 25

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1

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 23, 2025

Commits (30d)

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