Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report. Analysing it manually can be prone to error,bias and time consuming .In this notebook, An automatic credit card approval predictor using machine learning techniques, just like the real banks do
After preprocessing the data,the model was trained using a generalized linear model (Logistic Regression for the prediction of either a caredit card will be approved or not, The accuracy score of the model yields almost 84%.