Machine Learning & Training

What Is One-Hot Encoding?

One-hot encoding is a method for representing categorical variables as binary vectors. Each category becomes a separate column that is set to one when present and zero otherwise. This allows machine learning models that require numeric input to work with categorical data without implying an ordering.