Please join us for two exciting speakers!
Kevin Wright and Hui Lin will each give a 30 minute talk.
Kevin will discuss one or two of his R packages. Here are the vignettes :
Hui will talk about using R to preprocess data for predictive analytics. Data pre-processing generally refer to the addition, deletion or transformation of training set stat. Data preparation can make or break a model’s predictive ability. Different models have different sensitivities to the type of predictors in the model, how the predictors enter the model. It is necessary to exam and preprocess the data before you start to build predictive model. R is a very powerful tool to accomplish the task.
Space is limited to the first 28 that register, so please sign up soon!
We look forward to seeing everyone!