Conclusion. Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

A machine learning workflow with TensorFlow Our architecture consists of training and classification data streamed through Kafka and stored in a persistent, queryable database.