Data Science, Machine Learning, Feature Engineering, Algorithms, Machine Learning Tools.
one-hot encoding to but has some advantages and disadvantages over one-hot encoding. When the number of categories is high (high cardinality), using one-hot encoding will undesirably increase the number of features, which may lead to model overfitting. Target encoding can be an effective technique