Abstract

With increase in loan seekers around the world while bank assets remain the same, it becomes utmost important for banks to find out the credible customers. In this paper, we have taken the previous records of people to whom the loan was granted and on the basis of those records, the system is trained using the machine learning model. The implementation has been done in four main sections i.e., Data Visualization, Data Munging, Building the Predictive Model and Testing. The main objective that is fulfilled here is, by using this system, we will easily be able to identify the credible customers, which otherwise involves rigorous procedure by bank officials, in the present scenario.

Authors and Affiliations