
The Kaggle Book
Description
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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!
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Content
Contents
- A Word from Some Kaggle Grandmasters
- Preface
- Part 1: Your Kaggle Launchpad: Mastering the Essentials
- Introducing Kaggle and Other Data Science Competitions
- Free Benefits with Your Book
- The rise of data science competition platforms
- Introducing Kaggle competitions
- Submission and leaderboard dynamics
- Computational resources
- Teaming and networking
- Performance tiers and rankings
- Criticism and opportunities
- Summary
- Get This Book's PDF Version and Exclusive Extras
- Join our book's Discord space
- Organizing Data with Datasets
- Working and Learning with Kaggle Notebooks
- Technical requirements
- Setting up a notebook
- Running your notebook
- Saving notebooks to GitHub
- Setting a notebook as a utility script
- Getting the most out of notebooks' resources
- Upgrading to Google Cloud Platform (GCP)
- Going one step beyond
- Kaggle Learn courses
- Summary
- Get This Book's PDF Version and Exclusive Extras
- Join our book's Discord space
- Kaggle Models
- Leveraging Discussion Forums
- Part 2: Elevating Your Game: Advanced Techniques for Competitive Success
- Competition Tasks and Metrics
- Evaluation metrics and objective functions
- Basic types of tasks
- The Meta Kaggle dataset
- Handling never-before-seen metrics
- Metrics for regression (standard and ordinal)
- Metrics for classification (label prediction and probability)
- Metrics for multi-class classification
- Metrics for object detection and segmentation problems
- Metrics for multi-label classification and recommendation problems
- Optimizing evaluation metrics
- Summary
- Join our book's Discord space
- Designing Good Validation
- Modeling for Tabular Competitions
- The Tabular Playground Series
- Setting a random state for reproducibility
- The importance of EDA
- Reducing the size of your data
- Speeding up data processing
- Applying feature engineering
- Pseudo-labeling
- Denoising with autoencoders
- AutoML for tabular competitions
- Neural networks for tabular competitions
- Summary
- Join our book's Discord space
- Hyperparameter Optimization
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File format: ePUB
Copy protection: without DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use a reader that can handle the file format ePUB, such as Adobe Digital Editions or FBReader – both free (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook does not use copy protection or Digital Rights Management
For more information, see our eBook Help page.