Data Balancing with Gen AI: Credit Card Fraud Detection

Overview

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI:

Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic data to address the challenge of data imbalance in fraud detection systems.

Participants will gain hands-on experience in enhancing the accuracy of a binary classifier used for fraud detection by creating synthetic fraudulent transactions that mirror real ones.

This process not only balances the dataset but also improves the model’s performance significantly. Ideal for individuals with a keen interest in deep learning and Generative models, and recommended for those with at least a year of experience in deep learning frameworks like TensorFlow and Keras in Python.

Join us as we dive into the fascinating world of Generative AI and learn its application in financial services to ensure accurate and reliable fraud detection.

This project covers key areas including Python, Machine Learning, Deep Learning, TensorFlow, Generative AI, and Keras, making it a comprehensive learning opportunity for advancing your skills in these domains.

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Taught by

Ahmad Varasteh

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Subjects