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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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James Yan James Yan
Author Profile Icon James Yan
James Yan
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Toc

Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda FREE CHAPTER 2. Anaconda Installation 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 13. References 14. Other Books You May Enjoy

Finding manuals

For an R package, the best way to find the manual is to find the location of the installed R package. In the following example, we use the R package called rattle as an example:

> library(rattle) 
> path.package('rattle') 
[1] "C:/Users/yany/Documents/R/win-library/3.3/rattle" 

Note that different readers will definitively get different paths. Our result is shown in the following screenshot:

The PDF manual and HTML manuals are located under the doc subdirectory. It is a great idea to explore these subdirectories. To save space, we will not show the detailed files contained under the subdirectories. The second best way is to go to http://r-project.org, click CRAN, choose a nearby mirror location and click packages on the left-hand side. Then, from one of the two lists, search for the package. After clicking on the package, we will find...

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