In this course, you will learn:
- Statistical methods used for prediction when the response variable is categorical such as win-don’t win an auction.
- About tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior.
- This session is an overview of the business data analytics process and its components. We introduce you to different modeling paradigms and invite you to match problems to modeling paradigms. The module concludes with an overview of Rattle (an interface for the statistical package R) and its use for univariate analysis.