مكتبة جامعة عجلون الوطنية

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Practical data science with R / Nina Zumel and John Mount ; foreword by Jeremy Howard and Rachel Thomas.

By: Contributor(s): Material type: TextLanguage: ENG Publisher: Shelter Island, NY : Manning., [2020]Edition: Second editionDescription: xxvii, 536 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781617295874
Subject(s): DDC classification:
  • 006.312 23
LOC classification:
  • QA276.45.R3 Z86 2020
Contents:
Introduction to data science -- Modeling methods -- Working in the real world.
Summary: "Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackel day-to-day data analysis and machine learning tasks efficiently and effectively. "Practical data science with R, second edition" is a task-based tutorial that leads readers through dozens of useful data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations."-- Provided by publisher
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books مكتبة جامعة عجلون الوطنية QA276.45.RZ86 2020 (Browse shelf(Opens below)) Available E3981
Books مكتبة جامعة عجلون الوطنية QA276.45.RZ86 2020 (Browse shelf(Opens below)) Available E3982

Includes bibliographical references (pages 519-521) and index.

Introduction to data science -- Modeling methods -- Working in the real world.

"Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackel day-to-day data analysis and machine learning tasks efficiently and effectively. "Practical data science with R, second edition" is a task-based tutorial that leads readers through dozens of useful data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations."-- Provided by publisher

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