The Kaggle Book, 2nd Ed (Packt)
Wednesday, 14 January 2026

Subtitled "Master data science competitions with machine learning, GenAI, and LLMs", this book brings together tips and techniques for excelling in Kaggle competitions and data science projects. Three Kaggle Grandmasters, Luca Massaron, Bojan Tunguz and Konrad Banachewicz,  guide the reader through modeling strategies and share hard-earned insights accumulated over years of competition. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions.

<ASIN:183508320X >

 

Author: Luca Massaron, Bojan Tunguz and Konrad Banachewicz
Publisher: Packt
Date: December 2025
Pages: 708
ISBN: 978-1835083208
Print: 183508320X
Kindle: B0FDFXR8N9
Audience: Kaggle users
Level: introductory/intermediate
Category: Data Science

  • Learn how Kaggle works to make the most of every competition with winning strategies from 30+ expert Kagglers
  • Sharpen your modeling skills with feature engineering, adversarial validation, gradient boosting, tabular deep learning, ensembling, and AutoML
  • Master data handling techniques for smarter modeling and parameter tuning

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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