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Yet Again: R + Data Science
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Table of contents
Preface
1
Preliminaries
2
Data Exploration
3
Wrangling Data
4
Random Number Generators
5
The Monte Carlo Method
6
Hypothesis Testing
7
Linear Models
8
Multiple Linear Models via Maps
9
Classification
10
How to Build a Model
11
Tree-based Models
12
Sharing Your R Projects
13
Shiny Applications
14
Conclusion
References
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14
Conclusion
13
Shiny Applications
References
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14
Conclusion
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