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remove links to DataCamp courses
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MonkmanMH committed Apr 15, 2019
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2 changes: 1 addition & 1 deletion 04_data_science_tools.Rmd
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Expand Up @@ -64,7 +64,7 @@ Jesse Sadler, [Excel vs R: A Brief Introduction to R (With examples using dplyr

#### Categorical data

Emily Robinson, DataCamp course, [Categorical Data in the Tidyverse](https://www.datacamp.com/courses/categorical-data-in-the-tidyverse)
Emily Robinson, _Categorical data in the tidyverse_ {link to DataCamp course removed}


#### Tidy text
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2 changes: 1 addition & 1 deletion 51_bayesian.Rmd
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Expand Up @@ -55,7 +55,7 @@ CRAN page: [rjags: Bayesian Graphical Models using MCMC](https://cran.r-project.

**articles**

DataCamp course: [Bayesian modeling with `rjags`](https://www.datacamp.com/courses/bayesian-modeling-with-rjags)
Alicia Johnson: [Bayesian modeling with `rjags`] {link to DataCamp course removed}


#### `tidybayes`
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2 changes: 1 addition & 1 deletion 52_machine_learning.Rmd
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Expand Up @@ -42,7 +42,7 @@ David Smith, 2018-02-21, [Machine Learning in R with TensorFlow](http://blog.rev

Coursera: [Practical Machine Learning](https://www.coursera.org/learn/practical-machine-learning)

DataCamp tutorial: Karlijn Willems, [Machine Learning in R for beginners](https://www.datacamp.com/community/tutorials/machine-learning-in-r)
Karlijn Willems, [Machine Learning in R for beginners] {link to DataCamp course removed}

Jason Brownlee, 2016-02-23, [Your First Machine Learning Project in R Step-By-Step (tutorial and template for future projects)](https://machinelearningmastery.com/machine-learning-in-r-step-by-step/)

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2 changes: 1 addition & 1 deletion index.Rmd
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Expand Up @@ -14,7 +14,7 @@ description: "A modest and very incomplete listing of resources for tackling dat

# Preface {-}

_Draft, version 2_
_Draft, version 3_

This book grew out of my evergrowing collection of reference materials that was saved as an expanding array of markdown files in a github repo. By assembling it as a book, I hope that it will be more accessible and useful to other R users.

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