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title: Model
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# Model

After reading this chapter, what can you do that you couldn't before?

Focus on fitting a single model, and understanding it with broom. Focus on linear models. Focus on intutition and computation tools. No mathematics.

Review caret and mlr.

"Feature engineering":

* Factors
* Interactions
* Splines
* Log transform


[Applied Predictive Modeling](http://amzn.com/1461468485). 
[An Introduction to Statistical Learning](http://amzn.com/1461471370)

# Other model families

List of important classes on modelling; paragraph about why it's useful/different to lm, and a pointer to where to learn more.

* Generalised linear models: logistic, ...

* Hierarchical models

* Random forrests

* Unsupervised techniques