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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
Author (1):
Liu Peng Liu Peng
Profile icon 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 19. Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “Finally, we plot the function to show the characteristic S-shaped curve of the sigmoid function and add the gridlines using the grid() function.”

A block of code is set as follows:

lm_model = lm(Class_num ~ Duration, data=GermanCredit)
coefs = coefficients(lm_model)
intercept = coefs[1]
slope = coefs[2]

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “To create an R Markdown file, we can select File | New File | R Markdown in RStudio.”

Tips or important notes

Appear like this.

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