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CreditScoringModel

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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.

Creat2025-07-13T17:25:41
Update2025-07-14T15:22:44
https://hub.docker.com/r/masterlord/creditscoringmodel
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