Credit Card Fraud Detection based on Ensemble Machine Learning Classifiers With GUI

Description

Applications for machine learning algorithms are beginning to dominate the world of online financing.
Using data from a credit card issuer, a Random Forest classifier, AdaBoost Classifier, CatBoost classifier, XGBoost, LightBGM based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set. Our solution improves data usability, classification accuracy and resulting costs of analysing massive data sets used in personalizing customer experiences in online transaction.