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)
Preface
1
Part I: Introduction to Competitions
6
Part II: Sharpening Your Skills for Competitions
15
Part III: Leveraging Competitions for Your Career
18
Other Books You May Enjoy
19
Index

Creating Your Portfolio of Projects and Ideas

Participation on Kaggle has its benefits: scoring well in the four areas and consequently ranking high in the esteem of other Kagglers certainly brings satisfaction and a sense of accomplishment. However, your experience on Kaggle also has an impact beyond Kaggle and can help advance your career. It is not just the experience you gain from participating in competitions, experimenting on data you have never worked on before, or repeating experiments with new techniques; it is also the connections you create with other data scientists and the attention you may get from companies.

Although Kaggle is not fully recognized as a qualification by many companies, the work you do in competitions can demonstrate a lot about your capabilities and help you to stand out from the crowd. In this chapter, we will explore ways you can stand out by showcasing your work on Kaggle itself and other sites in an appropriate way. We will cover the following...