Default Prediction in Bank Loans
Introduction
In the financial industry, the prediction of the default is a main concern for all banks around the world. Machine Learning is a way to improve the process of decision making when someone asks for a loan.
This work aimed to create a machine learning engineering project to predict the default. Continuos Integration (CI), Continuos Deployment (CD), and Continuos Training are applied in this work.
Throughout this work, the code is able to retrain machine learning models and deploy them automatically. This approach overcomes data and model drifts.
