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The Kaggle Book

You're reading from The Kaggle Book Data analysis and machine learning for competitive data science

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801817479

Length 534 pages

Edition 1st Edition

Concepts

Data Analysis

Authors (2):

Luca Massaron

Konrad Banachewicz

View More author details

Table of Contents (20) Chapters

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 have discussed Kaggle Notebooks, multi-purpose, open coding environments that can be used for education and experimentation, as well as for promoting your data science project portfolio. You are now in a position to create your own Notebook, efficiently utilize the available resources, and use the results for competitions or your individual projects.

In the next chapter, we will introduce discussion forums, the primary form of exchanging ideas and opinions on Kaggle.

Join our book’s Discord space

Join the book’s Discord workspace for a monthly Ask me Anything session with the authors:

https://packt.link/KaggleDiscord

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Authors (2)

Konrad Banachewicz

Konrad Banachewicz

Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.

See other products by Konrad Banachewicz

Luca Massaron

Luca Massaron

Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is a Google Developer Expert(GDE) in machine learning and the author of best-selling books on AI, machine learning, and algorithms.

See other products by Luca Massaron

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