Cover image for The Kaggle Book

The Kaggle Book

Master data science competitions with machine learning, GenAI, and LLMs

Luca MassaronBTKB

Created by Luca Massaron, Bojan Tunguz, Konrad Banachewicz

Explore the world of data science competitions and learn how to tackle real-world challenges using machine learning, generative AI, and large language models. Gain practical experience and insights from expert Kagglers to boost your skills and career opportunities.

Packt | Dec 2025 | 708 min

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LevelIntermediate
CategoriesData Science, Supervised and Unsupervised Learning Techniques

What You Will Learn

You will progress by working through real competition scenarios, starting with data analysis and simple benchmarks, then advancing to sophisticated model building and validation. Guidance from experienced competitors helps you apply proven strategies and refine your approach at every stage.

Key Features

  • Develop advanced modeling techniques for image, tabular, and text data tasks
  • Design effective validation schemes and work with diverse evaluation metrics
  • Build a strong portfolio to showcase your expertise and attract employers

Target Audience

Ideal for data analysts and data scientists with a basic understanding of machine learning who want to improve their performance in Kaggle competitions. If you are looking to enhance your modeling skills, build a standout portfolio, or pursue opportunities with top tech companies, this content is designed for you.

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