Zumel, Nina  <br/><br/>
Practical Data Science With R  
Nina Zumel; John Mount  
 - New Delhi   Dreamtech   Wiley imprint   c2014 
 - xxiv; 389  P.B  
<br/><br/> Part 1 Introduction to data science<br/><br/>·	The data science process<br/><br/>·	Loading data into R<br/><br/>·	Exploring data<br/><br/>·	Managing data<br/><br/> <br/><br/>Part 2 Modeling methods<br/><br/>·	Choosing and evaluating models<br/><br/>·	Memorization methods<br/><br/>·	Linear and logistic regression<br/><br/>·	Unsupervised methods<br/><br/>·	Exploring advanced methods<br/><br/> <br/><br/>Part 3 Delivering results<br/><br/>·	Documentation and deployment<br/><br/>·	Producing effective presentations<br/><br/>  
<br/><br/><label>ISBN: </label>9789351194378  849 
<br/><br/><label>Subjects--Topical Terms: </label><br/>PRACTICAL DATA SCIENCE WITH R 
<br/><br/><label>Dewey Class. No.: </label>R 006.3 ZUM(PRA)