TY  - BOOK
AU  - Thareja, Reema
TI  - Data science and machine learning in R
SN  - 9789354600333
U1  - 006.31 
PY  - 2021///
CY  - Chennai
PB  - McGraw Hill Education (India) Pvt. Ltd.
KW  - Data Science
KW  - Machine Learning
N1  - Chapter 1: Introduction to Data Sciences and Machine Learning Chapter 2: Machine Learning Algorithms 
Chapter 3: Machine Learning Algorithms - II 
Chapter 4: Introduction to R
Chapter 5: More on Data Structures 
Chapter 6: Decision Control and Looping Statements 
Chapter 7: Generating and Manipulating Data in R Chapter 
8: Working with Data Chapter 
9: Using dplyr () and tidyr () packages Chapter 
10: Plotting graphs in R Chapter 
11: Social Media Mining Chapter 
12: Implementing Machine Learning Algorithms Chapter 
13: Implementing Machine Learning Algorithms - II Index Online Content Appendices Case Studies

N2  - OVRERVIEW


The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject

ER  -