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  • Book Overview & Buying The Kaggle Book
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The Kaggle Book

The Kaggle Book - Second Edition

By : Luca Massaron, Bojan Tunguz, Konrad Banachewicz
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The Kaggle Book

The Kaggle Book

By: Luca Massaron, Bojan Tunguz, Konrad Banachewicz

Overview of this book

Kaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities. The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition. The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics. Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you. Join our Discord community of over 1,000 members to learn, share, and grow together!
Table of Contents (23 chapters)
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Part 1: Your Kaggle Launchpad: Mastering the Essentials
7
Part 2: Elevating Your Game: Advanced Techniques for Competitive Success
17
Part 3: Kaggle for Your Career: Building Your Profile and Finding Opportunities
21
Other Books You May Enjoy
22
Index

Modeling for Tabular Competitions

Until 2017, there was no need to distinguish too much between competition types, and since the vast majority of competitions were based on tabular data, you could not even find mention of “tabular competitions” on Kaggle forums. Then, suddenly, something changed. After a relative shortage of competitions (see https://www.kaggle.com/general/49904), deep learning competitions took the upper hand, and tabular competitions became rarer, disappointing many. They became so rare that Kaggle launched a series of tabular competitions based on synthetic data in 2021. What happened?

By 2017-2018, data science had fully matured, and many companies had initiated their data journeys. Data science was still a hot topic, but no longer uncommon. Solutions to problems similar to those that had populated Kaggle for years at the time had become standard practice in many companies. Under these circumstances, sponsors were less motivated to launch external...

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The Kaggle Book
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