Basics 2 – Profiling and Complex Models
March 5, 09:00 - March 6, 17:00
Building on the training course Basics 1, this practical training course teaches how to create data profiles for the training of predictive models and how to choose meaningful quality criteria depending on the problem at hand. The predictive models that are already familiar are then combined with technologies for feature selection in order to identify important influence factors in the profiles. Participants will learn to create and optimize complex analytical predictive models. In the training course, the free version of RapidMiner Studio will be used to give each participant the opportunity to try things out without any programming knowledge.