Credit card is one of the most widely used payment systems which are used by more than 2 billion customers. It
is quite useful for day-to-day life. It is essential for credit card companies to identify fraudulent credit card
transactions so that customers aren't charged for items that they didn't purchase. Fraud can be committed in
multiple ways and in various industries; Credit card frauds are easy targets. The credit card fraud anomaly
detection goal is to detect the least accurate false fraud detection. It is difficult to analyze every transaction data
among millions of them. This anomaly detection model is used for detecting fraudulent transactions by
implementing an autoencoder model.
Software And Hardware