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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

Kaggle Learn courses

A great many things about Kaggle are about acquiring knowledge. Whether it be the things you learn in a competition, datasets you manage to find in the ever-growing repository, or demonstration of a hitherto unknown model class, there is always something new to find out. The newest addition to that collection is the courses gathered under the Kaggle Learn label: https://www.kaggle.com/learn. These are micro-courses marketed by Kaggle as “the single fastest way to gain the skills you’ll need to do independent data science projects,” the core unifying theme being a crash course introduction across a variety of topics. Each course is divided into small chapters, followed by coding practice questions. The courses are delivered using Notebooks, where portions of the necessary theory and exposition are intermingled with the bits you are expected to code and implement yourself.

Below, we provide a short overview of the most useful ones:

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