Summary

We have learned how to develop a predictive model for credit card fraud detection, exploiting the IBM Cloud platform with IBM Watson Studio.

By leveraging the IBM Cloud platform, we have also learned how to address the issues related to the presence of unbalanced and non-stationary data within the dataset concerning credit card transactions and made full use of ensemble learning and data sampling techniques.

In the next chapter, we will delve deep into generative adversarial networks (GANs).