Practical data science with R / Nina Zumel, John Mount.
By: Zumel, Nina
Material type:
TextLanguage: English Publisher: New Delhi : Dreamtech Press, 2014Description: xxv, 389 p. ; 24 cmISBN: 9789351194378 (pbk.)Subject(s): Mathematical statistics -- Data processing | R (Computer program language) | Data miningDDC classification: 005.74 ZUM
Contents:
Part 1. Introduction to data science: The data science process
Loading data into R
Exploring data
Managing data
Part 2. Modelling methods: Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3. Delivering results: Documentation and deployment
Producing effective presentations.
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Formerly CIP.
Includes bibliographical references (pages 375-376) and index.
Part 1. Introduction to data science: The data science process
Loading data into R
Exploring data
Managing data
Part 2. Modelling methods: Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3. Delivering results: Documentation and deployment
Producing effective presentations.
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