![]() This is especially helpful for those who are considering purchasing EM, but also for those who have used open source tools and have never experienced the additional power and efficiencies that come with a tool that is well thought out from a business solutions standpoint (as opposed to an algorithm workbench).Ījay- You are an instructor with software ranging from SPSS, S Plus, SAS Enterprise Miner, Statistica and CART. Second, they will gain experience using a top-tier predictive analytics software tool, Enterprise Miner (EM). Seeing demonstrations show the capabilities of a tool, but greater value for an end-user is the development of intuition of what to do at each each stage of the process that makes the theory of predictive analytics real. I have found that for many, having to actually build the predictive analytics solution if an eye-opener. At the same time, they will experience success with building reasonable models to solve a problem in a single day. First, by going through the data assessment, preparation, modeling and model assessment stages in one day, the attendees will see how predictive analytics works in reality, including some of the pain associated with false starts and mistakes. Dean is scheduled to take a workshop on Predictive Analytics at PAW (Predictive Analytics World Conference) Oct 18, 2010 in Washington D.CĪjay- Describe your upcoming hands on workshop at Predictive Analytics World and how it can help people learn more predictive modeling.ĭean- The hands-on workshop is geared toward individuals who know something about predictive analytics but would like to experience the process. Here is an interview with noted Analytics Consultant and trainer Dean Abbott. > rgl.snapshot("C:/Documents and Settings/abc/Desktop/RGLGraph.png") > scatter3d(iris3$Petal.L.Versicolor, iris3$Petal.L.Setosa, + iris3$Petal.L.Virginica, fit="linear", residuals=TRUE, bg="white", + axis.scales=TRUE, grid=TRUE, ellipsoid=FALSE, xlab="Petal.L.Versicolor", + ylab="Petal.L.Setosa", zlab="Petal.L.Virginica") ![]() > scatter3d(iris3$Petal.W.Setosa, iris3$Petal.L.Setosa, + iris3$Sepal.L.Setosa, fit="linear", residuals=TRUE, bg="black", + axis.scales=TRUE, grid=TRUE, ellipsoid=FALSE, xlab="Petal.W.Setosa", + ylab="Petal.L.Setosa", zlab="Sepal.L.Setosa") Here is the auto generated code by R Commander. I loaded R, then loaded the GUI, inputted data (from an attached package) but you can input data from a csv, then went to Graphs- 3D ScatterPlot. Creating 3D graphs in a 3d scatterplot is a 2 minute task in R using the woderful R Commander GUI.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |