Data Transformation, Sklearn, Machine Learning, One Hot Encoding, Label Encoding.
unexpected outcomes. It’s often more useful to use the one-hot encoding instead [5]: Disadvantages If there is no ordinal relationship between the categorical variables then ordinal encoding might mislead the model.This is because the ordinal encoder will try to force an ordinal relationship on the