This Advanced Predcitive Analytics using R course provides a short introduction to some key steps of a typical predictive analytics project, using the R language and environment as the illustration tool.
The course addresses reporting tools in R; some of the key definitions and metrics for predictive analytics; relevant data pre-processing techniques; performance estimation, model tunning and comparison; feature selection; and handling imbalanced domains.
The course is targeted to participants with a significant background on the R environment and language.
This web site provides support material to the course Using the top menus you can find:
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