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 the most out of Notebooks

Kaggle provides a certain amount of resources for free, with the quotas resetting weekly. You get a certain number of hours to use with both GPU and TPU; it is 30 hours for TPU, but for GPU the numbers can vary from week to week (you can find the official statement describing the “floating” quotas policy here: https://www.kaggle.com/product-feedback/173129). You can always monitor your usage in your own profile:

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Figure 3.13: Current status for accelerator quotas

While the amounts might seem large at first glance, this initial impression can be deceptive; it is actually fairly easy to use your quota very quickly. Some practical suggestions that can help you control the usage of the resources:

  • The counter for the quota (measuring how long you have been using your chosen accelerator, GPU or TPU) starts running the moment you initialize your Notebook.
  • This means that you should always start by checking that...