The Kaggle Book
By :
The Kaggle Book
By:
Overview of this book
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!
Table of Contents (20 chapters)
Preface
Part I: Introduction to Competitions
Free Chapter
Introducing Kaggle and Other Data Science Competitions
Organizing Data with Datasets
Working and Learning with Kaggle Notebooks
Leveraging Discussion Forums
Part II: Sharpening Your Skills for Competitions
Competition Tasks and Metrics
Designing Good Validation
Modeling for Tabular Competitions
Hyperparameter Optimization
Ensembling with Blending and Stacking Solutions
Modeling for Computer Vision
Modeling for NLP
Simulation and Optimization Competitions
Part III: Leveraging Competitions for Your Career
Creating Your Portfolio of Projects and Ideas
Finding New Professional Opportunities
Other Books You May Enjoy
Index
Customer Reviews