Restructuring
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<li><a href="visualize.html">Visualize</a></li>
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<li><a href="visualize.html">Visualize</a></li>
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<li><a href="transform.html">Transform</a></li>
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<li><a href="transform.html">Transform</a></li>
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<li><a href="tidy.html">Tidy</a></li>
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<li><a href="tidy.html">Tidy</a></li>
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<li><a href="model.html">Model</a></li>
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<li><a href="import.html">Import</a></li>
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<li><a href="import.html">Import</a></li>
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<li><a href="eda.html">Exploratory data analysis</a></li>
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<li class="dropdown-header">Communication</li>
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<li class="dropdown-header">Communication</li>
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<li><a href="rmarkdown.html">R Markdown</a></li>
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<li><a href="rmarkdown.html">R Markdown</a></li>
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<li class="dropdown-header">Programming</li>
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<li class="dropdown-header">Programming</li>
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<li><a href="data-structures.html">Data structures</a></li>
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<li><a href="data-structures.html">Data structures</a></li>
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<li><a href="functions.html">Expressing yourself with code</a></li>
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<li><a href="strings.html">Strings</a></li>
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<li><a href="strings.html">Strings</a></li>
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<li><a href="datetimes.html">Dates and times</a></li>
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<li><a href="datetimes.html">Dates and times</a></li>
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<li><a href="functions.html">Expressing yourself with code</a></li>
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<li><a href="lists.html">Lists</a></li>
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<li><a href="lists.html">Lists</a></li>
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<li class="dropdown-header">Modelling</li>
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<li class="dropdown-header">Modelling</li>
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<li><a href="model-linear.html">Linear models</a></li>
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<li><a href="model-vis.html">Models and visualisation</a></li>
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<li><a href="model-vis.html">Models and visualisation</a></li>
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<li><a href="model-assess.html">Model assesment</a></li>
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<li><a href="model-assess.html">Model assessment</a></li>
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<li><a href="model-other.html">Other models</a></li>
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---
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layout: default
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title: Exploratory data analysis
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output: bookdown::html_chapter
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---
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@ -10,6 +10,9 @@ set.seed(1014)
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options(digits = 3)
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options(digits = 3)
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```
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```
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* Some discussion of p-values.
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* Bootstrapping to understand uncertainty in parameters.
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* Cross-validation to understand predictive quality.
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## Multiple models
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## Multiple models
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---
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layout: default
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title: Other model familes
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output: bookdown::html_chapter
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---
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[Applied Predictive Modeling](http://amzn.com/1461468485).
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[An Introduction to Statistical Learning](http://amzn.com/1461471370)
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## Extensions of linear models
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* Generalised linear models: logistic, ...
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* Hierarchical models
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## Non-linear
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* Random forrests
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## Clustering
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Show example of clustering babynames by year.
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* Interactions
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* Interactions
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* Splines
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* Splines
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* Log transform
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* Log transform
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[Applied Predictive Modeling](http://amzn.com/1461468485).
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[An Introduction to Statistical Learning](http://amzn.com/1461471370)
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# Other model families
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List of important classes on modelling; paragraph about why it's useful/different to lm, and a pointer to where to learn more.
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* Generalised linear models: logistic, ...
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* Hierarchical models
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* Random forrests
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* Unsupervised techniques
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