Credit Card Fraud Analysis Using Machine Learning

One of the important societal issues affecting the credit card business is fraud. The world has large impact on this problem. The main objectives are to first identify and categorize the different types of credit card theft before reviewing other fraud detection techniques that have been used. We are working to analyze and lesson global fraud. This paper discusses popular phrases used in credit card fraud analysis and highlights significant facts and numbers. Depending on the type of fraud that banks or credit card firms are dealing with, several precautions and processes can be created and implemented. The strategy proposed in this study is likely to be advantageous in a variety of ways, and the method presented employs machine learning methods. The reduction of credit card scam is why it is crucial to use the tactics we have discussed here. In addition, it raises ethical questions when legitimate credit card users are mistakenly labeled as fraudsters. The next step is to apply our model to determine whether or not another transaction is dishonest. Thus, it is important to treat this issue with utmost care.