Practical Data Science with R

Practical Data Science with R

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 a...

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Bibliographic Details
Main Authors: Zumel, Nina (Author), Mount, John (Author)
Format: Book
Language:English
Published: Shelter Island, NY Manning Publications 2020
Edition:Print book : English : Second edition
Subjects:
R (Computer program language)
Mathematical statistics > Data processing
Data mining
Online Access:Click Here to View Status and Holdings.
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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.
Physical Description:xxvii, 536 pages illustrations, charts 24 cm
Bibliography:Includes bibliographical references and index
ISBN:9781617295874

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