Book Image

The Kaggle Book

By : Konrad Banachewicz, Luca Massaron
5 (2)
Book Image

The Kaggle Book

5 (2)
By: Konrad Banachewicz, Luca Massaron

Overview of this book

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you’ll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won’t easily find elsewhere, and the knowledge they’ve accumulated along the way. As well as Kaggle-specific tips, you’ll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You’ll design better validation schemes and work more comfortably with different evaluation metrics. Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you. Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!
Table of Contents (20 chapters)
Part I: Introduction to Competitions
Part II: Sharpening Your Skills for Competitions
Part III: Leveraging Competitions for Your Career
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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.

Join our book’s Discord space...