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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

Introducing competition utility scripts

Let’s begin by grouping the Python modules with reusable functions for video manipulation in two Kaggle utility scripts. The first utility script groups functions to load and display images from videos or play video files. The second one is geared toward object detection in videos – more specifically, to detect human faces and bodies – using a few alternative methods.

Video data utils

We developed a utility script to assist us in the manipulation of video data. Let’s introduce one utility script that we will use in the notebook associated with the current chapter to read video data, as well as visualize frames from a video file.

The video_utils utility script includes functions to load, transform, and display images from videos. Additionally, it also contains a function to play video content. For video manipulation, we will use the OpenCV library. OpenCV is an open-source computer vision library widely...

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