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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How forums work

You can enter the discussion forum in several ways. The most direct way is by clicking on Discussions in the left-hand side panel:

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Figure 4.1: Entering the Discussions page from the main menu

The top section contains Forums, which are aggregations of general topics. Perusing those is useful whether you are participating in your first competition, have a suggestion to make, or just have a general question because you feel lost.

Below the forums, you can find the combined view of discussions across Kaggle: mostly conversations related to competitions (which form the bulk of activity on Kaggle), but also Notebooks or notable datasets. By default, they are sorted by Hotness; in other words, those with the highest participation and most activity are shown closer to the top. This section is where you can find content more relevant to the dynamic nature of the field: a collection of discussions from different subsets of Kaggle, with the ability to filter...