Working With Tabular Data

For Tabular

We have a number of processes in the fastai library. And the ones we’re going to use this time are:

FillMissing: Look for missing values and deal with them some way. Categorify: Find categorical variables and turn them into Pandas categories Normalize : Do a normalization ahead of time which is to take continuous variables and subtract their mean and divide by their standard deviation so they are zero-one variables.

This is critical— you transform all the number data so they’re between -1 and 1 L4