TY  - BOOK
AU  - Zumel, Nina
TI  - Practical data science with R
SN  - 9789351194378 (pbk.)
U1  - 005.74 ZUM 
PY  - 2014///
CY  - New Delhi
PB  - Dreamtech Press
KW  - Mathematical statistics -- Data processing.
KW  - R (Computer program language)
KW  - Data mining
N1  - Formerly CIP.
Includes bibliographical references (pages 375-376) and index; Part 1. Introduction to data science: The data science process
Loading data into R
Exploring data
Managing data
Part 2. Modelling 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
ER  -