mriusero/loan-default-prediction-mlops

This project builds a predictive model to evaluate the default risk of personal loans within retail banking. Leveraging an MLOps pipeline, it ensures efficient, scalable, and reliable model deployment on AWS, with a user interface created in Streamlit. The project incorporates experiment tracking, model tuning, and containerization.

Jupyter NotebookMIT