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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

Using Kaggle Datasets in Google Colab

Kaggle Notebooks are free to use, but not without limits (more on that in Chapter 4), and the first one you are likely to hit is the time limit. A popular alternative is to move to Google Colab, a free Jupyter Notebook environment that runs entirely in the cloud: https://colab.research.google.com.

Even once we’ve moved the computations there, we might still want to have access to the Kaggle datasets, so importing them into Colab is a rather handy feature. The remainder of this section discusses the steps necessary to use Kaggle Datasets through Colab.

The first thing we do, assuming we are already registered on Kaggle, is head to the account page to generate the API token (an access token containing security credentials for a login session, user identification, privileges, and so on):

  1. Go to your account, which can be found at https://www.kaggle.com/USERNAME/account, and click on Create New API Token:
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