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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Setting up a dataset

In principle, any data you can use you can upload to Kaggle (subject to limitations; see the Legal caveats section later on). The specific limits at the time of writing are 100 GB per private dataset and a 100 GB total quota. Keep in mind that the size limit per single dataset is calculated uncompressed; uploading compressed versions speeds up the transfer but does not help against the limits. You can check the most recent documentation for the datasets at this link:

Kaggle promotes itself as a “home of data science” and the impressive collection of datasets available from the site certainly lends some credence to that claim. Not only can you find data on topics ranging from oil prices to anime recommendations, but it is also impressive how quickly data ends up there. When the emails of Anthony Fauci were released under the Freedom of Information Act in May 2021 (