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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

Creating Your Portfolio of Projects and Ideas

Participation on Kaggle has its benefits: scoring well in the four areas and consequently ranking high in the esteem of other Kagglers certainly brings satisfaction and a sense of accomplishment. However, your experience on Kaggle also has an impact beyond Kaggle and can help advance your career. It is not just the experience you gain from participating in competitions, experimenting on data you have never worked on before, or repeating experiments with new techniques; it is also the connections you create with other data scientists and the attention you may get from companies.

Although Kaggle is not fully recognized as a qualification by many companies, the work you do in competitions can demonstrate a lot about your capabilities and help you to stand out from the crowd. In this chapter, we will explore ways you can stand out by showcasing your work on Kaggle itself and other sites in an appropriate way. We will cover the following...

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