Product guide

The Kaggle Book, 2nd Edition: Data Science Competitions, Machine Learning, GenAI, and LLMs

The Kaggle Book is a competition-focused guide to data science, machine learning, GenAI, and LLMs. This second edition adds material on Kaggle Models, time series, and Generative AI competitions, alongside topics including validation, feature engineering, ensembling, computer vision, and NLP.

At a glance

Covers Kaggle platform features, notebooks, datasets, models, and discussion forums.
Explains modeling topics including feature engineering, gradient boosting, tabular deep learning, ensembling, and AutoML.
Includes validation schemes, competition tasks and metrics, hyperparameter optimization, computer vision, and NLP.
New-edition topics include Kaggle Models, time series, and Generative AI competitions.

Price

$49.99Save 17%

Reference price: ~~$59.99~~

Price checked: Nov 14, 2026

View offer Ahead of Black FridayExplore the selection

Often bought together

Developing Kaggle Notebooks: Pave your way to becoming a Kaggle Notebooks Grandmaster

$51.99

The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions

$27.94

Pros and cons

Pros

Combines competition workflow guidance with modeling, validation, and evaluation topics across tabular, image, and text data.
The stated 708-page length and broad contents offer substantial coverage in one volume.
Listing claims a free PDF eBook with purchase of the print or Kindle book.

Cons

A basic understanding of machine learning concepts is recommended, so it may not suit readers seeking a from-scratch introduction.

Technical specifications

9 specifications

Publication details
Publisher	Packt Publishing
Edition	2nd ed.
Publication date	December 19, 2025
Language	English
Print length	708 pages
ISBN-10	183508320X
ISBN-13	978-1835083208

Physical details
Dimensions	7.5 x 1.6 x 9.25 inches
Weight listed	2.64 pounds

What to know before buying

The listing describes this as the second edition and says it adds Kaggle Models, time series, and Generative AI competition chapters. Confirm the selected format, since the free PDF claim applies to print or Kindle purchases.

Who is it for?

A good fit for

Kaggle participants seeking strategies for competition tasks, modeling, validation, and leaderboard work.
Data analysts and data scientists interested in applying machine learning methods to competition and project work.
Readers with basic machine learning knowledge who want coverage ranging from tabular modeling to NLP, computer vision, time series, and Generative AI.

Less suited to

Readers looking for a foundational machine-learning text with no prior knowledge assumed.
Buyers seeking a narrowly focused manual for only one model type or one data modality.

Customer reviews on Amazon

4.8 / 5 · 21 ratings

5 stars84%84%
4 stars16%16%
3 stars0%0%
2 stars0%0%
1 star0%0%

The available rating distribution is mostly five-star, with the remainder four-star, but the number of ratings is modest and no written customer feedback is supplied. Ratings alone do not reveal what readers liked or disliked, so use the listed contents and your familiarity with machine learning to judge whether its broad competition focus fits your needs.

Frequently asked questions

What topics does The Kaggle Book cover?

The listing describes coverage of Kaggle's platform, competition tasks and metrics, validation, tabular modeling, hyperparameter optimization, ensembling, computer vision, and NLP. It also calls out time series and Generative AI competitions in this edition.

Is this book suitable for a machine-learning beginner?

The listing says a basic understanding of machine-learning concepts will help readers get the most from the book, so it is not presented as a completely introductory text.

Does the purchase include a PDF eBook?

The listing claims that purchase of the print or Kindle book includes a free PDF eBook. Check the selected format and offer details before purchasing.