000			03128cam a2200517 i 4500
001			21074978
003			NUST
005			20240829114629.0
006			m |o d |
007			cr |||||||||||
008			190701s2020 flu ob 001 0 eng
010			_a 2019025161
020			_a9780429341830 _q(Adobe PDF)
020			_z9780367357986 _q(hardback)
020			_z9780367357993 _q(paperback
038			_aAZHAR
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA276.45.R3
082	0	0	_a005.362 _223 _bIRI
100	1		_aIrizarry, Rafael A., _eauthor. _9123562
245	1	0	_aIntroduction to data science : _bdata analysis and prediction algorithms with R / _cRafael A. Irizarry.
260			_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2020]
300			_a713p.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aCHAPMAN & HALL/CRC DATA SCIENCE SERIES
504			_aIncludes bibliographical references and index.
505	0		_aInstalling R and RStudio -- Getting started with R and RStudio -- R Basics -- Programming basics -- The tidyverse -- Importing data -- Introduction to data visualization -- ggplot2 -- Visualizing data distributions -- Data visualization in practice -- Data visualization principles -- Robust summaries -- Introduction to statistics with R -- Probability -- Random variables -- Statistical inference -- Statistical models -- Regression -- Linear models -- Association is not causation -- Introduction to data wrangling -- Reshaping data -- Joining tables -- Web scraping -- String processing -- Parsing dates and times -- Text mining -- Introduction to machine learning -- Smoothing -- Cross validation -- The caret package -- Examples of algorithms -- Machine learning in practice -- Large datasets -- Clustering -- Introduction to productivty tools -- Accessing the terminal and installing Git -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown.
520			_a"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"-- _cProvided by publisher.
588			_aDescription based on online resource; title from PDF title page (Site, viewed 04/05/2021).
650		0	_aR (Computer program language) _918662
650		0	_aInformation visualization.
650		0	_aData mining.
650		0	_aStatistics _xData processing. _910203
650		0	_aProbabilities _xData processing. _996074
650		0	_aComputer algorithms.
650		0	_aQuantitative research. _929173
650		0	_aE-BOOKBANK.SEECSTEXTBOOK _9125472
776	0	8	_iPrint version: _aIrizarry, Rafael A.. _tIntroduction to data science _dBoca Raton : CRC Press, Taylor & Francis Group, [2020] _z9780367357986 _w(DLC) 2019025160
856			_uhttp://10.250.8.41:8080/xmlui/handle/123456789/41788
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c609719 _d609719