In this 2-hour guided project, you will learn how to leverage Generative AI for data generation to address data imbalance. SecureTrust Financial Services, a financial institution, has asked us to help them improve the accuracy of their fraud detection system. The model is a binary classifier, but it's not performing well due to data imbalance. As data scientists, we will employ Generative Adversarial Networks (GANs), a subset of Generative AI, to create synthetic fraudulent transactions that closely resemble real transactions. This approach aims to balance the dataset and enhance the accuracy of the fraud detection model.
Data Balancing with Gen AI: Credit Card Fraud Detection
Data Balancing with Gen AI: Credit Card Fraud Detection
Instructor: Ahmad Varasteh
Access provided by InZone - Université de Genève
2,111 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Clean and preprocess data for GANs
Employ GANs (Generative Adversarial Networks) for data generation
Apply PCA (Principal Component Analysis) for Data Exploration
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Load the Dataset
Preprocess and Explore the data
Create the Generator model
Practice Task - Data Preprocessing for Neural Networks
Create the Discriminator model
Combine Generator and Discriminator models to Build The GAN
Train and evaluate our GAN
Generate synthetic data using the trained Generator
Challenge Task - Principal Component Analysis for Data visualization
Recommended experience
At least one year of experience in using deep learning frameworks such as TensorFlow and Keras in Python
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Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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