Webinar (TOMORROW): Improve Your Regression with Data Science and Modern Regression Techniques (no charge)
REGISTER NOW<http://hubs.ly/H03NFp-0> Can't make it? Sign up and receive the recording! 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 @ 10:00 am 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) ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
