In machine learning, a nominal feature is a characteristic that is described by discrete values for which there is no order amongst them.
An example is "Yes" and "No".
Often those nominal features need to be converted into numerical values for certain models that can only
handle numerical values. Then we could convert the "Yes" in 1 and the "No" in 0 (or -1).
