Zumel, Nina  <br/><br/>
Practical Data Science with R 

 - New  Delhi  Dreamtech Press  2016,2003 
 - 389 
<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/><label>ISBN: </label>978-93-5119-437-8 
<br/><br/><label>Publisher. No.: </label> Allied Informatics, Jaipur 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Science<br/>R Language
<br/><br/><label>Dewey Class. No.: </label>006.3  / ZUM