Workshop: Credit card fraud detection with AI/ML (Feb 16, 2022)
Channel: Red Hat Developer
Date: 2022-02-16

Learn how to build, train, deploy, and monitor a credit card fraud detection model

In this workshop, you will learn how credit card transactions are handled in a bank setting.  Specifically, you will build, train, test/evaluate, and deploy a model that will detect fraudulent credit card transactions. In order to accomplish this task, you will be using an end-to-end AI/ML platform: Red Hat OpenShift Data Science (RHODS). Within RHODS you will use Jupyter Notebooks and S2I Builds to:

Examine credit card transaction data
Create a model that can predict fraudulent transactions
Deploy the model and collect model metrics
Use tools to monitor and examine model results and performance

Beginner data handling and python skills are required for this workshop. Join the Red Hat Data Science team as they teach you how to build, train, deploy, and monitor a credit card fraud detection model using the Red Hat OpenShift Data Science platform.