Categorical Entity Embedding Using Python Tensorflow Keras Entity embedding for high cardinality categorical variables using Airbnb data

Categorical Entity Embedding Using Python Tensorflow Keras

Categorical entity embedding extracts the embedding layers of categorical variables from a neural network model, and uses numeric vectors to represent the properties of the categorical values. It is usually used on categorical variables with high cardinalities. For example, a marketing company can create categorical entity embedding for different campaigns to represent the characteristics using …

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