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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

Monitoring competition updates and newsletters

By now, you can see that it is important to showcase your work on Kaggle so you can communicate to the world your interest in certain types of models and data problems. From this perspective, it is important that you are always aware of the opportunities offered by competitions.

The main way to do this is to visit the Kaggle website frequently and agree to receive emails from them. You can set this option from your profile, on the Notification and e-mail settings page, where you can agree to receive notifications both on the site and by email. You can also choose to receive emails containing tips on new features and initiatives on Kaggle, along with news about recently launched competitions:

Figure 13.2: A Kaggle email announcing a series of videos from the Kaggle Team

If you are a Twitter user, you’ll find it useful to follow a couple of profiles to keep you updated about new stuff on Kaggle. Kagoole (https:/...

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