Deciding bank client's credit limit and home loan using machine learning

Abstract

Bank customer's profile helps the bankers to whom the banking facilities may be given and what credit limit to produce. The profile includes both demographic and transaction data. By the best technique, the exactness might be accomplished and furthermore the banks can get higher gainfulness by fulfilling the purchasers. The various data analytic techniques are used for the credit limit prediction and the loan amount for that credit limit is also determined. The regression algorithms are employed for improving high accuracy in predicting the credit card limit.