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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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Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda 2. Anaconda Installation FREE CHAPTER 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

Introduction to the dslabs R package

The dslabs R package is short for Data Science Labs. The package includes several datasets, such as the dataset called murders for US gun murders by state for 2010:

> library(dslabs) 
> data(murders) 
> head(murders) 
       state abb region population total 
1    Alabama  AL  South    4779736   135 
2     Alaska  AK   West     710231    19 
3    Arizona  AZ   West    6392017   232 
4   Arkansas  AR  South    2915918    93 
5 California  CA   West   37253956  1257 
6   Colorado  CO   West    5029196    65 

The following table shows the datasets included in the package:

Name of dataset
Description

admissions

Gender bias among graduate school admissions to UC Berkeley

divorce_margarine

Divorce rate and margarine consumption data

ds_theme_set

dslabs theme set

gapminder

Gapminder data

heights

Self-Reported...

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