The purpose of this instance is to introduce complex regression techniques, data visualization, and supervised learning. Students are requested to visualize data geographically and in scatter plots. They will use regression trees and stepwise regression to select a predictive model for forecasting data in a holdout sample. In a forecasting contest, they will submit their models to be analyzed for accuracy.
Supervised learning techniques-such as validation, training, and testing -are introduced. Regression trees serve as both predictive and graphical tools for communicating insights from data analysis to a decision maker.
Segmenting Clinton and Obama Voters case study solution
PUBLICATION DATE: August 08, 2013 PRODUCT #: UV6719-PDF-ENG
This is just an excerpt. This case is about TECHNOLOGY & OPERATIONS
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