Credit Card Fraud Detection with Machine Learning

Fraud detection, one of the many cases of anomaly detection is an important aspect of financial markets. Is there any way to predict whether a transaction is fraudulent or not based on the history of transactions? Let's explore a neural network architecture as it attempts to predict the cases as frauds or not. By the end of this article, we'll be able to build an encoder-decoder architecture from scratch using Keras and classify the transactions as fraudulent or non-fraudulent. We use a dataset credit card fraud detection by the ULB machine learning group.