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Credit Risk Scoring ML Project

This project is a machine learning powered web application that predicts the risk of credit default based on basic financial features. It is packaged in a Docker and integrated with GitHub Actions.

Live Demo

https://credit-risk-scoring.onrender.com

Features

  • Risk scoring using machine learning model
  • RESTful API endpoints
  • Docker container support
  • CI/CD pipeline integration

Technologies

  • Python 3.9
  • Flask
  • scikit-learn
  • Docker
  • GitHub Actions

CI/CD Pipeline

The project includes automated test and build processes with GitHub Actions. On every push and pull request:

  • Dependencies are installed
  • Tests are run

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Dockerized ML App deployed on Render

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