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- Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples
- Gain practical insights into the real-world applications of statistics and machine learning
- Explore the technicalities of statistics and machine learning for effective data presentation
- Purchase of the print or Kindle book includes a free PDF eBook

The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts.
Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you’ll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You’ll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career.
By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You’ll also be proficient in using R's extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.

- Hone your skills in different probability distributions and hypothesis testing
- Explore the fundamentals of linear algebra and calculus
- Master crucial statistics and machine learning concepts in theory and practice
- Discover essential data processing and visualization techniques
- Engage in interactive data analysis using R
- Use R to perform statistical modeling, including Bayesian and linear regression

Download this book in **EPUB** and **PDF** formats

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Publication date :
Oct 25, 2023

Length
516 pages

Edition :
1st Edition

Language :
English

ISBN-13 :
9781803240305

Category :

Languages :

Concepts :

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Total
$
80.95
115.97
35.02 saved

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

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Papu Siameja
Feb 6, 2024

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