This article discusses about one of the commonly used data pre-processing techniques in Feature Engineering that is One Hot Encoding and its use in TensorFlow.
One-Hot Encoding is a frequently used term when dealing with Machine Learning models particularly during the data pre-processing stage. It is one of the approaches used to prepare categorical data.
Table of contents:
Categorical VariablesOne-Hot EncodingImplementing One-Hot encoding in TensorFlow models (tf.one_hot)Categorical Variab...
Published on January 28, 2022 03:23