An enterprise-grade, configuration-driven MLOps pipeline for credit risk underwriting. Built with XGBoost, strict data validation, mlFlow, and CI/CD automation. Dockerized inference deployed via render
What is the ihimanshu29/credit-risk-mlops-pipeline GitHub project? Description: "An enterprise-grade, configuration-driven MLOps pipeline for credit risk underwriting. Built with XGBoost, strict data validation, mlFlow, and CI/CD automation. Dockerized inference deployed via render". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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