This repository presents examples of logistic regression and classification models
Example 1: Logistic regression using student admissions data (iPython Notebook) Example 1 presents a data analysis and classification model using dummy graduate school admissions data whereby admissions to school is predicted by GPA, GRE scores and prestige of undergraduate school. Graphics are used to understand the underlying covariates and create dummy variables for classification.