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

Key Features

• 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

Book Description

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.