31 lines
725 B
Plaintext
31 lines
725 B
Plaintext
# Model
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After reading this chapter, what can you do that you couldn't before?
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Focus on fitting a single model, and understanding it with broom. Focus on linear models. Focus on intutition and computation tools. No mathematics.
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Review caret and mlr.
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"Feature engineering":
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* Factors
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* Interactions
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* Splines
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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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