Logistic Regression is a variant of linear regression where the target variable is *categorical*, i.e. it takes one out of a few possible discrete values. Each of these values is called a **label**. Don't be confused by the name logistic *regression*, it's a *classification* algorithm.

In particular, we can use logistic regression for **binary classification** (two labels). For example, we might want to predict whether or not a person has diabetes, or whether or not an email is spam.