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 book 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 book is for you.

Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!

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Spis treści

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition eBook -- spis treści

• 1. Introducing Data Science Competition
• 2. Organizing Data with Datasets
• 3. Working and Learning with Kaggle Notebooks
• 4. Kaggle Models
• 5. Leveraging Discussion Forums
• 6. Detailing Competition Tasks and Metrics
• 7. Designing Good Validation Schemes
• 8. Modeling for Tabular Competitions
• 9. Hyperparameter Optimization
• 10. Ensembling and Stacking Solutions
• 11. Modeling for Image Classification and Segmentation
• 12. Modeling for Natural Language Processing
• 13. Participating in Generative AI Competitions
• 14. Handling Simulation and Optimization Competitions
• 15. Creating Your Portfolio of Projects and Ideas
• 16. Finding New Professional Opportunities