Chapter 8 “Advanced Data Preparation” of Practical Data Science with R is a study in:

• Using the R vtreat package for advanced data preparation.
• Cross-validated data preparation.

It is the professionally edited, ready to cite version of an important data preparation methodology. An advantage being: a number of well documented result improving transforms are added to your predictive analytic work in one documented step.

We also have a number of free data preparation resources (for both the R vtreat package and the Python vtreat package; notice we believe in cross-language data science tools and practice):

• Free R video lecture on advanced variable preparation.
• Free Python video lecture on advanced variable preparation.
• Task oriented (and cross-linked) examples in R and Python.

Categories: Administrativia Exciting Techniques Pragmatic Data Science Tutorials

Tagged as: data science Practical Data Science Pragmatic Machine Learning R Statistics variable treatment vtreat

jmount

Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.