Example Use Case for Logistic Regression

We'll be using the same dataset as UCLA's Logit Regression in R tutorial to explore logistic regression in Python. Our goal will be to identify the various factors that may influence admission into graduate school.

The dataset contains several columns which we can use as predictor variables:

• gpa
• gre score
• rank or prestige of an applicant's undergraduate alma mater
  

The fourth column, admit, is our binary target variable. It indicates whether or not a candidate was admitted our not.