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.
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
• Discussion on key topics such as ggplot2 package, sentiment analysis, web scrapping, etc.
• Easy explanation of concepts along with programming applications
• Wide variety of pedagogical elements such as Chapter Highlights, Review Exercises, MCQs, Programming Exercises, etc.
• Teaching aids such as ‘Programming Tips’ to help students remember important concepts and identify some typical errors
Author: Reema Thareja
Publisher: Mcgraw Hill
Binding: Paper Back
No. Of Pages: 472
Country of Origin: India
International Shipping: Yes