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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Gathering the data

Apart from legal aspects, there is no real limit on the kind of content you can store in the datasets: tabular data, images, text; if it fits within the size requirements, you can store it. This includes data harvested from other sources; tweets by hashtag or topic are among the popular datasets at the time of writing:

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Figure 2.6: Tweets are among the most popular datasets

Discussion of the different frameworks for harvesting data from social media (Twitter, Reddit, and so on) is outside the scope of this book.

Andrew Maranhão

We spoke to Andrew Maranhão (aka Larxel), Datasets Grandmaster (number 1 in Datasets at time of writing) and Senior Data Scientist at the Hospital Albert Einstein in São Paulo, about his rise to Datasets success, his tips for creating datasets, and his general experiences on Kaggle.

What’s your favourite kind of competition...