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The Statistics and Machine Learning with R Workshop

You're reading from The Statistics and Machine Learning with R Workshop

Product type Book

Published in Oct 2023

Publisher Packt

ISBN-13 9781803240305

Pages 516 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Liu Peng

Table of Contents (20) Chapters

Preface

1. Part 1:Statistics Essentials

2. Chapter 1: Getting Started with R

3. Chapter 2: Data Processing with dplyr

4. Chapter 3: Intermediate Data Processing

5. Chapter 4: Data Visualization with ggplot2

6. Chapter 5: Exploratory Data Analysis

7. Chapter 6: Effective Reporting with R Markdown

8. Part 2:Fundamentals of Linear Algebra and Calculus in R

9. Chapter 7: Linear Algebra in R

10. Chapter 8: Intermediate Linear Algebra in R

11. Chapter 9: Calculus in R

12. Part 3:Fundamentals of Mathematical Statistics in R

13. Chapter 10: Probability Basics

14. Chapter 11: Statistical Estimation

15. Chapter 12: Linear Regression in R

16. Chapter 13: Logistic Regression in R

17. Chapter 14: Bayesian Statistics

18. Index

Why subscribe?

19. Other Books You May Enjoy

Intermediate Data Processing

The previous chapter covered a suite of commonly used functions offered by dplyr for data processing. For example, when characterizing and extracting the statistics of a dataset, we can follow the split-apply-combine procedure using group_by() and summarize(). This chapter continues from the previous one and focuses on intermediate data processing techniques, including transforming categorical and numeric variables and reshaping DataFrames. Besides that, we will also introduce string manipulation techniques for working with textual data, whose format is fundamentally different from the neatly shaped tables we have been working with so far.

By the end of this chapter, you will be able to perform more advanced data manipulation and extend your data massaging skills to string-based texts, which are fundamental to the field of natural language processing.

In this chapter, we will cover the following topics:

Transforming categorical and numeric...

The rest of the chapter is locked

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Authors (1)

Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.

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