PacktPublishing/The-Kaggle-Book resource

Health v2 · maintenance only

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2333 stars · 469 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official code repository for 'The Kaggle Book' by Packt Publishing, containing Jupyter Notebook examples from two Kaggle Grandmasters. It covers competitive data science techniques including ensembling, feature engineering, adversarial validation, AutoML, and transfer learning.

Use cases

• learn how to compete in Kaggle competitions
• study feature engineering examples for tabular data
• understand ensembling and model stacking techniques
• practice machine learning on vision and NLP competition problems
• learn hyperparameter tuning and AutoML workflows
• find example notebooks for adversarial validation

When to choose

• you are reading The Kaggle Book and want its companion code
• you want worked Jupyter Notebook examples of Kaggle competition techniques
• you are a beginner-to-intermediate data scientist learning competitive ML

When to avoid

• you need a production-ready ML library or framework
• you want maintained software tooling rather than educational notebooks
• you are not interested in Kaggle-style competitions or book-based learning

Facets

learning-resource · maturity active

machine-learning data-science benchmarking data-science machine-learning tutorials python kaggle competitions jupyter-notebooks book-code feature-engineering ensembling

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