Using Machine Learning Methods to Forecast Credit Card Approvals

As we all know, Every day, commercial banks get a large number of credit card applications. Many of them are turned down for a variety of reasons, including large loan amounts, insufficient income, or too many queries on a person's credit record. Manually assessing these programs is tedious, time-consuming, and error-prone. Fortunately, machine learning can automate this operation, and almost every commercial bank does it nowadays. In this paper, we have used machine learning techniques to create a prediction system for automated credit card approvals, much like actual banks do.