How to Build a Machine Learning Model to Identify Credit Card Fraud in 5 Steps

A Hands-on Modeling Guide using a Kaggle Dataset

With the surge in e-commerce and digital transactions, identity fraud is has also risen to affect millions of people every year. In 2019, fraud losses in the US alone were estimated to be at around US$16.9 billion, a substantial portion of which includes losses from credit card fraud¹.

In addition to strengthening cybersecurity measures, financial institutions are increasingly turning to…