Neural networks are essentially complex math functions which work with numeric values. Therefore, categorical predictor variables and categorical dependent variables must be converted to a numeric ...

This article explains how to programmatically encode categorical data for use with a machine learning (ML) prediction model such as a neural network classification or regression system. Suppose you ...