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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

Summary

In this chapter, we have talked about discussion forums, the primary manner of communication on the Kaggle platform. We demonstrated the forum mechanics, showed you examples of how discussions can be leveraged in more advanced competitions, and briefly summarized discussion netiquette.

This concludes the first, introductory part of this book. The next chapter marks the start of a more in-depth exploration of how to maximize what you get out of Kaggle, and looks at getting to grips with the huge variety of different tasks and metrics you must wrestle with in competitions.

Join our book’s Discord space

Join the book’s Discord workspace for a monthly Ask me Anything session with the authors:

https://packt.link/KaggleDiscord

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