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description: Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises. Purchase of the print or Kindle book includes a free eBook in PDF format. More than 80000 Kaggle novices currently participate in Kaggle competitions. To help them navigate the often-overwhelming world of Kaggle two Grandmasters put their heads together to write The Kaggle Book which made plenty of waves in the community. Now they've come back with an even more practical approach based on hands-on exercises that can help you start thinking like an experienced data scientist. In this book you'll get up close and personal with four extensive case studies based on past Kaggle competitions. You'll learn how bright minds predicted which drivers would likely avoid filing insurance claims in Brazil and see how expert Kagglers used gradient-boosting methods to model Walmart unit sales time-series data. Get into computer vision by discovering different solutions for identifying the type of disease present on cassava leaves. And see how the Kaggle community created predictive algorithms to solve the natural language processing problem of subjective question-answering. You can use this workbook as a supplement alongside The Kaggle Book or on its own alongside resources available on the Kaggle website and other online communities. Whatever path you choose this workbook will help make you a formidable Kaggle competitor. If you're new to Kaggle and want to sink your teeth into practical exercises start with The Kaggle Book first. A basic understanding of the Kaggle platform along with knowledge of machine learning and data science is a prerequisite. This book is suitable for anyone starting their Kaggle journey or veterans trying to get better at it. Data analysts/scientists who want to do better in Kaggle competitions and secure jobs with tech giants will find this book helpful.
language: English
title: The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions
publisher: Packt Publishing