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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 discussed how to showcase your work and how this can be valuable for progressing your career. It helps you to demonstrate capabilities that, while (of course) not covering the entire span of your data science knowledge and experience, still represent a great asset.

In order to display your work, you can either use Kaggle resources or external resources. Kaggle resources offer you an integrated environment and, provided you have everything at hand, are quite accessible and quick to set up. External resources (Medium publications, GitHub, HuggingFace Spaces, and so on) are more widely known and accessible for the majority of recruiters, human resource officers, and hiring managers because they use them routinely.

In the next chapter, we will complete our discussion of the opportunities that Kaggle competitions offer you by talking about network building and how to use your Kaggle efforts to get an interview.

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