DSCΙ 100

R and the Tidyverse hello worldV

First draft

Preface {-}
Setting up your computer {#move-to-your-own-machine}
Reading in data locally and from the web {#reading}
Cleaning and wrangling data {#wrangling}
Effective data visualization {#viz}
Collaboration with version control {#Getting-started-with-version-control}
Classification I: training & predicting
Classification II: evaluation & tuning {#classification2}
Regression I: K-nearest neighbors {#regression1}
Regression II: linear regression {#regression2}
Clustering {#clustering}
Statistical inference {#inference}
References {-}
Acknowledgments {-}
About the authors {-}
(APPENDIX) Appendix {-}

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References {-}

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Statistical inference {#inference}

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Acknowledgments {-}

By UBC
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