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 starting chapter, we first discussed how data science competition platforms have risen and how they actually work, both for competitors and for the institutions that run them, referring in particular to the convincing CTF paradigm as discussed by Professor David Donoho.

We illustrated how Kaggle works, without forgetting to mention other notable competition platforms and how it could be useful for you to take on challenges outside Kaggle as well. With regards to Kaggle, we detailed how the different stages of a competition work, how competitions differ from each other, and what resources the Kaggle platform can offer you.

In the next few chapters, we will begin to explore Kaggle in more detail, starting with how to work with Datasets.

Join our book’s Discord space

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