Detection of Merchant Fraud using Machine Learning Techniques

This project, Detection of Merchant Fraud using Machine Learning techniques is the process of monitoring customer behaviour and transactions to identify and prevent fraudulent activity. Transactions at Merchants are now potentially the most widely used in offline and online purchases. Due to new developments in electronic commerce systems and communication technology there is much more fraud involved with merchant transactions. Researchers face a difficult task when trying to identify Merchant services since criminals are quick-thinking and inventive. The increased use of electronic payments is now significantly impacted by the detection of fraudulent transactions. As a result, methods that are efficient and effective for identifying fraud in merchant services are required. Gradient Boosting Classifier, a machine learning methodology, is suggested in this research as a smart method for identifying fraud in merchant transactions. The performance of the proposed approach is evaluated based on real-world data sets.