2015-12-06 22:02:29 +08:00
|
|
|
---
|
|
|
|
layout: default
|
|
|
|
title: Model
|
|
|
|
output: bookdown::html_chapter
|
|
|
|
---
|
|
|
|
|
|
|
|
# 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
|
2015-12-08 04:57:08 +08:00
|
|
|
|
|
|
|
|
|
|
|
[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
|