The workshop is an overview of creating predictive models using R. An example data set will be used to demonstrate a typical workflow: data splitting, pre-processing, model tuning and evaluation. Several R packages will be shown along with the caret package which provides a unified interface to a large number of R’s modeling functions and enables parallel processing. Participants should have a basic understanding of R data structures and basic language elements (i.e. functions, classes, etc).
Max Kuhn is a Director of Nonclinical Statistics in Pfizer R&D. He has worked in pharmaceutical and molecular diagnostic research for more than 15 years. Max’s interests are in predictive modeling and machine learning and is the author of six R packages, including the [caret package](http://topepo.github.io/caret/). He and Kjell Johnson published the bestselling book [Applied Predictive Modeling](http://appliedpredictivemodeling.com) in 2013. Max holds a B.S. in Mathematics and a Ph.D. in Biostatistics.