Analysis and prediction model of customers likely to leave their credit card.
This analysis uses supervised learning techniques to create models to predict which customers are most likely to leave the credit card business of a particular bank. Bagging Classifier, Random Forest Estimator, Decision Tree, Adaboost Classifier, Gradient Boost Classifier and XGBoost Classifier techniques are all used, tuned and reviewed with the best model productionalized in a pipeline.