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The Statistics and Machine Learning with R Workshop

You're reading from The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781803240305

Length 516 pages

Edition 1st Edition

Languages

R

Concepts

Data Science

Author (1):

Liu Peng

View More author details

Table of Contents (20) Chapters

Preface

1. Part 1:Statistics Essentials

2. Chapter 1: Getting Started with R FREE CHAPTER

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

Part 1:Statistics Essentials

This part is designed to equip you with knowledge of statistical and programming fundamentals, focusing particularly on the versatile R language, which will serve as the cornerstone for more advanced topics in subsequent parts.

By the end of this part, you’ll have a strong grasp of the core statistical and programming concepts essential for any data science practitioner to understand. With these foundational skills in hand, you’ll be well prepared to delve into the more specialized topics that await you in subsequent parts of this book.

This part has the following chapters:

Chapter 1, Getting Started with R
Chapter 2, Data Processing with dplyr
Chapter 3, Intermediate Data Processing
Chapter 4, Data Visualization with ggplot2
Chapter 5, Exploratory Data Analysis
Chapter 6, Effective Reporting with R Markdown

The rest of the chapter is locked

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Authors (1)

Liu Peng

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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