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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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1
Part 1: Your Kaggle Launchpad: Mastering the Essentials
7
Part 2: Elevating Your Game: Advanced Techniques for Competitive Success
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17
Part 3: Kaggle for Your Career: Building Your Profile and Finding Opportunities
21
Other Books You May Enjoy
22
Index

Elevating Your Game: Advanced Techniques for Competitive Success

This part dives deep into the art and science of competitive data science, equipping you with the advanced techniques necessary to excel. You’ll learn how to dissect competition tasks and metrics, design robust validation strategies, and master modeling for diverse data types, including tabular, image, and text. We’ll also cover crucial skills such as hyperparameter optimization, ensembling, and an introduction to newer frontiers, including generative AI and simulation competitions. Upon completing this part, you’ll possess a comprehensive toolkit of advanced strategies and technical skills to significantly boost your performance and tackle a wide array of Kaggle challenges.

This part of the book includes the following chapters:

  • Chapter 6, Competition Tasks and Metrics
  • Chapter 7, Designing Good Validation
  • Chapter 8, Modeling for Tabular Competitions
  • Chapter 9, Hyperparameter...
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The Kaggle Book
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