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Developing Kaggle Notebooks

You're reading from   Developing Kaggle Notebooks Pave your way to becoming a Kaggle Notebooks Grandmaster

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Length 370 pages
Edition 1st Edition
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Author (1):
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Gabriel Preda Gabriel Preda
Author Profile Icon Gabriel Preda
Gabriel Preda
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Table of Contents (14) Chapters Close

Preface 1. Introducing Kaggle and Its Basic Functions FREE CHAPTER 2. Getting Ready for Your Kaggle Environment 3. Starting Our Travel – Surviving the Titanic Disaster 4. Take a Break and Have a Beer or Coffee in London 5. Get Back to Work and Optimize Microloans for Developing Countries 6. Can You Predict Bee Subspecies? 7. Text Analysis Is All You Need 8. Analyzing Acoustic Signals to Predict the Next Simulated Earthquake 9. Can You Find Out Which Movie Is a Deepfake? 10. Unleash the Power of Generative AI with Kaggle Models 11. Closing Our Journey: How to Stay Relevant and on Top 12. Other Books You May Enjoy
13. Index

Can You Find Out Which Movie Is a Deepfake?

In the previous chapters, we explored various data formats: tabular, geospatial, text, image, and acoustic, while working with Kaggle datasets, learning about shapefile visualization, building models for image or text classification, and acoustic signal analysis.

In this chapter, we will introduce video data analysis. We will start by describing a Kaggle competition, Deepfake Detection Challenge. This competition challenged the participants to classify which videos were generated artificially to create realistic fake content convincingly. We will continue by quickly exploring the most used video formats, followed by introducing two utility scripts used for our data analysis. First, a utility script with functions for manipulating video content, i.e., reading, visualizing images from videos, and playing video files. Second, a utility script with functions for body, face, and face element detection. We will continue with metadata exploration...

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