Thareja, Reema <br/><br/>
Data science and machine learning in R 

 - Chennai  McGraw Hill Education (India) Pvt. Ltd.  2021 
 - xxiii, 472 p. 
<br/><br/>Chapter 1: Introduction to Data Sciences and Machine Learning Chapter 2: Machine Learning Algorithms <br/>Chapter 3: Machine Learning Algorithms - II <br/>Chapter 4: Introduction to R<br/>Chapter 5: More on Data Structures <br/>Chapter 6: Decision Control and Looping Statements <br/>Chapter 7: Generating and Manipulating Data in R Chapter <br/>8: Working with Data Chapter <br/>9: Using dplyr  and tidyr  packages Chapter <br/>10: Plotting graphs in R Chapter <br/>11: Social Media Mining Chapter <br/>12: Implementing Machine Learning Algorithms Chapter <br/>13: Implementing Machine Learning Algorithms - II Index Online Content Appendices Case Studies<br/> 
<br/><br/> OVRERVIEW<br/><br/><br/>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.<br/> 
<br/><br/><label>ISBN: </label>9789354600333 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data Science<br/>Machine Learning
<br/><br/><label>Dewey Class. No.: </label>006.31  / THA