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Practical Machine Learning with R

You're reading from   Practical Machine Learning with R Define, build, and evaluate machine learning models for real-world applications

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781838550134
Length 416 pages
Edition 1st Edition
Languages
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Authors (3):
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Brindha Priyadarshini Jeyaraman Brindha Priyadarshini Jeyaraman
Author Profile Icon Brindha Priyadarshini Jeyaraman
Brindha Priyadarshini Jeyaraman
Ludvig Renbo Olsen Ludvig Renbo Olsen
Author Profile Icon Ludvig Renbo Olsen
Ludvig Renbo Olsen
Monicah Wambugu Monicah Wambugu
Author Profile Icon Monicah Wambugu
Monicah Wambugu
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Toc

Table of Contents (8) Chapters Close

About the Book 1. An Introduction to Machine Learning FREE CHAPTER 2. Data Cleaning and Pre-processing 3. Feature Engineering 4. Introduction to neuralnet and Evaluation Methods 5. Linear and Logistic Regression Models 6. Unsupervised Learning 1. Appendix

Installing R

  1. R can be downloaded from https://www.r-project.org by clicking the Download CRAN as shown below:
    Figure 0.1: Screenshot of download link
    Figure 0.1: Screenshot of download link
  2. Chose the mirror you would want to download from.
  3. Further, based on the operating system that you use; Windows, Linux or (MAC) OS X, select the relevant link:
    Figure 0.2: Screenshot of links based on operating system
    Figure 0.2: Screenshot of links based on operating system
  4. Select install R for first time.
  5. Download and run the executable.
  6. Run the exe file and install in your local directory as shown below:
Figure 0.3: Selecting the setup location
Figure 0.3: Selecting the setup location

Note

The current installation process is for Windows and will be similar for other operating systems.

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