Credit Card Defaulter Prediction

Abstract

Our aim is to develop a Machine learning model and testing the model by using the data in relating to previous 6 months payment behaviour which is behavioural data and personal information which is demographic data as input of a client is used for this study. The research study is conducted using Random Forest Algorithm. Our aim is to identify that credit card customer is likely to default in the coming month.