New book on Kaggle released with inputs from over 30 experts
The new Kaggle book – The Kaggle Book: Data analysis and machine learning for competitive data science, written by Konrad Banachewicz and Luca Massaron, has been released. This book is suitable for anyone new to Kaggle and veteran users too. Data analysts/scientists who want to perform better in Kaggle competitions and secure jobs with tech giants will find this book useful as well. First of its kind, The Kaggle Book assembles the techniques and skills a participant would require for success in competitions, data science projects, and beyond. In the book, two Kaggle Grandmasters who have accumulated knowledge along the way will walk you through modelling strategies and these details are not easily found elsewhere. The book also has Kaggle-specific tips, where the participants will learn more techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. This book will help design validation schemes and work comfortably with different evaluation metrics. This book will help you climb the ranks of Kaggle, build some data science skills, or improve the accuracy of your existing models.
First of its kind, The Kaggle Book assembles the techniques and skills a participant would require for success in competitions, data science projects, and beyond.
First of its kind, The Kaggle Book assembles the techniques and skills a participant would require for success in competitions, data science projects, and beyond.
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["data science", "machine learning", "programming_languages:R", "AI", "R"]
["AI", "machine learning", "data science", "R", "programming_languages:R"]
Poornima Nataraj has worked in the mainstream media as a journalist for 12 years, she is always eager to learn anything new and evolving. Witnessing a revolution in the world of Analytics, she thinks she is in the right place at the right time.