01233nam a22002537a 4500999001500000003000400015005001700019008004100036020002200077028005800099040002400157082001500181100001700196245003400213260004300247300000800290504038300298650002100681650001500702700001600717942001200733952011700745952011700862 c1270d1270OSt20180221104916.0180217b xxu||||| |||| 00| 0 eng d a978-93-5119-437-8 bAllied Informatics, Jaipurc4485d23/01/2018q2017-18 aBSDUbEnglishcBSDU a006.3bZUM aZumel, Nina  aPractical Data Science with R aNew DelhibDreamtech Pressc2016,2003 a389 aPart 1 Introduction to data science The data science process · Loading data into R Exploring data Managing data Part 2 Modeling 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 aComputer Science aR Language aMount, John 2ddccBK 00102ddc4070aBSDUbBSDUcGENd2018-02-17g799.00l0o006.3 ZUMp014452r2020-02-12 00:00:00w2018-02-17yBK 00102ddc4070aBSDUbBSDUcGENd2018-02-17g799.00l0o006.3 ZUMp014453r2020-02-12 00:00:00w2018-02-17yBK