Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.

The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.

Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this audiobook is for you.

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Spis treści

The Kaggle Book. Data analysis and machine learning for competitive data science Audiobook -- spis treści

• 1. Opening Credits
• 2. Foreword and Contributors
• 3. Preface
• 4. Part 1: Introduction to Competitions
• 5. Chapter 1: Introducing Kaggle and Other Data Science Competitions
• 6. Chapter 2: Organizing Data with Datasets
• 7. Chapter 3: Working and Learning with Kaggle Notebooks
• 8. Chapter 4: Leveraging Discussion Forums
• 9. Part 2: Sharpening Your Skills for Competitions
• 10. Chapter 5: Competition Tasks and Metrics
• 11. Chapter 6: Designing Good Validation
• 12. Chapter 7: Modeling for Tabular Competitions
• 13. Chapter 8: Hyperparameter Optimization
• 14. Chapter 9: Ensembling with Blending and Stacking Solutions
• 15. Chapter 10: Modeling for Computer Vision
• 16. Chapter 11: Modeling for NLP
• 17. Chapter 12: Simulation and Optimization Competitions
• 18. Part 3: Leveraging Competitions for Your Career
• 19. Chapter 13: Creating Your Portfolio of Projects and Ideas
• 20. Chapter 14: Finding New Professional Opportunities
• 21. Closing Credits