Improve Your Regression with Data Science


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Abstract:

Join us for this two part webinar series on improving your regression using 
modern regression analysis techniques, presented by Senior Scientist, Mikhail 
Golovyna. In these webinars you will learn how to drastically improve 
predication accuracy in your regression with a new model that addresses common 
concerns such as missing values, interactions, and nonlinearities in your data.

We will demonstrate the techniques using real-world data sets and introduce the 
main concepts behind Leo Breiman's Random Forests and Jerome Friedman's GPS 
(Generalized PathSeeker(tm)), MARS(r) (Multivariate Adaptive Regression 
Splines), and Gradient Boosting.



Part 1: July 27 @ 10am PDT: Linear, Nonlinear, Regularized, GPS, LARS, LASSO, 
Elastic Net, MARS(r)

Part 2: August 10 @ 10am PDT: TreeNet(r) Gradient Boosting, RandomForests(r), 
ISLE(tm) and RuleLearner(r)



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