CREDIT DEFAULT RISK

Abstract

In this project we have developed a solution to help banking staff to analyze applicant’s data and predict how much applicant is capable of repaying the loan. We have trained a machine learning model using 5 different algorithms to predict credit default risk with 70% accuracy rate. We have also created our very own restful API which will help other developers to make similar recommender systems using our services. This will help an institute to choose better customers from which they can get most profit out and minimize the risk of loss.