The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions PDF 2023 - KING OF EXCEL

Saturday, February 18, 2023

The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions PDF 2023

 The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions PDF 2023

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The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions PDF 2023

by Konrad BanachewiczLuca Massaron

  • Length: 172 pages
  • Edition: 1
  • Language: English
  • Publisher: Packt Publishing
  • Publication Date: 2023-02-24

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.

Key Features

  • Challenge yourself to start thinking like a Kaggle Grandmaster
  • Fill your portfolio with impressive case studies that will come in handy during interviews
  • Packed with exercises and notes pages for you to enhance your skills and record key findings

Book Description

More than 80,000 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.

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