000			01027nam a22002057a 4500
008			190221b xxu||||| |||| 00| 0 eng d
020			_a9789351194378 (pbk.)
041			_aEnglish
082			_a005.74 ZUM
100			_aZumel, Nina
245			_aPractical data science with R / _cNina Zumel, John Mount.
260			_aNew Delhi : _bDreamtech Press, _c2014.
300			_axxv, 389 p. ; _c24 cm.
500			_aFormerly CIP. Includes bibliographical references (pages 375-376) and index.
505			_aPart 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.
650			_aMathematical statistics -- Data processing.
650			_aR (Computer program language)
650			_aData mining.
942			_c1
999			_c14664 _d14664