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

Getting spotted and other job opportunities

For some time, Kaggle was a hotspot where employers could find rare competencies in data analysis and machine learning modeling. Kaggle itself offered a job board among the discussion forums and many recruiters roamed the leaderboard looking for profiles to contact. Companies themselves held contests explicitly to find candidates (Facebook, Intel, and Yelp arranged recruiting competitions for this purpose) or conveniently pick up the best competitors after seeing them perform excellently on certain kinds of problems (such as the insurance company AXA did after its telematics competitions). The peak of all this was marked by a Wired interview with Gilberto Titericz, where it was stated that “highly ranked solvers are flooded with job offers” (https://www.wired.com/story/solve-these-tough-data-problems-and-watch-job-offers-roll-in/).

Recently, things have changed somewhat and many Kagglers report that the best that you can...