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Data Balancing with Gen AI: Credit Card Fraud Detection
Coursera Project Network

Data Balancing with Gen AI: Credit Card Fraud Detection

Ahmad Varasteh

Instructor: Ahmad Varasteh

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
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

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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:

  1. Load the Dataset

  2. Preprocess and Explore the data

  3. Create the Generator model

  4. Practice Task - Data Preprocessing for Neural Networks

  5. Create the Discriminator model

  6. Combine Generator and Discriminator models to Build The GAN

  7. Train and evaluate our GAN

  8. Generate synthetic data using the trained Generator

  9. 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

5 project images

Instructor

Ahmad Varasteh
Coursera Project Network
24 Courses60,943 learners

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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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