The Kaggle Book: Data analysis and machine learning for competitive data science

• Learn how Kaggle works and how to make the most of competitions from over 30 expert Kagglers
• Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML
• A concise collection of smart data handling techniques for modeling and parameter tuning

• Get acquainted with Kaggle as a competition platform
• Make the most of Kaggle Notebooks, Datasets, and Discussion forums
• Create a portfolio of projects and ideas to get further in your career
• Design k-fold and probabilistic validation schemes
• Get to grips with common and never-before-seen evaluation metrics
• Understand binary and multi-class classification and object detection
• Approach NLP and time series tasks more effectively
• Handle simulation and optimization competitions on Kaggle

This book is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this book useful. A basic understanding of machine learning concepts will help you make the most of this book.