

Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015
ConferencesModelingPredictive AnalyticsRTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015 Open Data Science

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).
Presenter Bio
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.
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