Acharya, Seema <br/><br/>
Data analytics using R 

 - Chennai  McGraw Hill Education  2018 
 - xxiii, 555p.  | Binding - Paperback |  24.2*18.5 cm 
<br/><br/> This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.<br/><br/>This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.  <br/>CONTENT:<br/>Chapter 1 Introduction to R<br/><br/>Chapter 2 Getting Started with R<br/><br/>Chapter 3 Loading and Handling Data in R<br/><br/>Chapter 4 Exploring Data in R<br/><br/>Chapter 5 Linear Regression using R<br/><br/>Chapter 6 Logistic Regression<br/><br/>Chapter 7 Decision Tree<br/><br/>Chapter 8 Time Series in R<br/><br/>Chapter 9 Clustering<br/><br/>Chapter 10 Association Rules<br/><br/>Chapter 11 Text Mining<br/><br/>Chapter 12 Parallel Computing with R 
<br/><br/><label>ISBN: </label>9789352605248 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering
<br/><br/><label>Dewey Class. No.: </label>006.312  / ACH