Highlighted by Jeff Bagley
From Feature Transformation for Machine Learning, a Beginners Guide by Rebecca Vickery
You will notice from the code above that I did not include the continuous variable “age” in the feature scaling transformation. The reason for this is that age is an example of a feature type that might benefit from transformation into a discrete variable. In this example we can use bucketing or binning to transform the feature into a list of meaningful categories.