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The Kaggle Book

You're reading from   The Kaggle Book Data analysis and machine learning for competitive data science

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801817479
Length 534 pages
Edition 1st Edition
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Konrad Banachewicz Konrad Banachewicz
Author Profile Icon Konrad Banachewicz
Konrad Banachewicz
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Toc

Table of Contents (20) Chapters Close

Preface
1. Part I: Introduction to Competitions
2. Introducing Kaggle and Other Data Science Competitions FREE CHAPTER 3. Organizing Data with Datasets 4. Working and Learning with Kaggle Notebooks 5. Leveraging Discussion Forums 6. Part II: Sharpening Your Skills for Competitions
7. Competition Tasks and Metrics 8. Designing Good Validation 9. Modeling for Tabular Competitions 10. Hyperparameter Optimization 11. Ensembling with Blending and Stacking Solutions 12. Modeling for Computer Vision 13. Modeling for NLP 14. Simulation and Optimization Competitions 15. Part III: Leveraging Competitions for Your Career
16. Creating Your Portfolio of Projects and Ideas 17. Finding New Professional Opportunities 18. Other Books You May Enjoy
19. Index

Legal caveats

Just because you can put some data on Kaggle does not necessarily mean that you should. An excellent example would be the People of Tinder dataset. In 2017, a developer used the Tinder API to scrape the website for semi-private profiles and uploaded the data on Kaggle. After the issue became known, Kaggle ended up taking the dataset down. You can read the full story here: https://www.forbes.com/sites/janetwburns/2017/05/02/tinder-profiles-have-been-looted-again-this-time-for-teaching-ai-to-genderize-faces/?sh=1afb86b25454.

In general, before you upload anything to Kaggle, ask yourself two questions:

  1. Is it allowed from a copyright standpoint? Remember to always check the licenses. When in doubt, you can always consult https://opendefinition.org/guide/data/ or contact Kaggle.
  2. Are there privacy risks associated with this dataset? Just because posting certain types of information is not, strictly speaking, illegal, doing so might be harmful to another...
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