There are several methods to encode categorical variables in machine learning. The three most common methods are:
- Integer Encoding: Each unique label is mapped to an integer.
- One Hot Encoding: Each label is mapped to a binary vector.
- Learned Embedding: A distributed representation of the categories is learned.