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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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Toc

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

What is in the data?

The data from the Jigsaw Unintended Bias in Toxicity Classification competition dataset contains 1.8 million rows in the training set and 97,300 rows in the test set. The test data contains only a comment column and does not contain a target (the value to predict) column. Training data contains, besides the comment column, another 43 columns, including the target feature. The target is a number between 0 and 1, which represents the annotation that is the objective of the prediction for this competition. This target value represents the degree of toxicity of a comment (0 means zero/no toxicity and 1 means maximum toxicity), and the other 42 columns are flags related to the presence of certain sensitive topics in the comments. The topic is related to five categories: race and ethnicity, gender, sexual orientation, religion, and disability. In more detail, these are the flags per each of the five categories:

  • Race and ethnicity: asian, black, jewish, latino...
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