Applied Deep Learning with Python

Create categorical fields from continuous variables and make segmented visualizations

1. Scroll up to the pair plot in the Jupyter Notebook where we compared MEDV, LSTAT, TAX, AGE, and RM:

Take a look at the panels containing AGE. As a reminder, this feature is defined as the proportion of owner-occupied units built prior to 1940. We are going to convert this feature to a categorical variable. Once it's been converted, we'll be able to replot this figure with each panel segmented by color according to the age category.

2. Scroll down to Subtopic Building and exploring categorical features and click into the first cell. Type and execute the following ...