The dataset has 25 variables. There are 10 categorical features, 14 numerical features and 1 target variable. The aim of data analysis is to predict whether a customer will default next month in credit card payments. The critical aspect of the analysis is to accurately identify the potential defaulters. There is higher risk in misclassifying … Continue reading Credit Card Default Prediction