Web Reference: Performs a one-hot encoding of categorical features. This encoding is suitable for low to medium cardinality categorical variables, both in supervised and unsupervised settings. Aug 5, 2025 · By using scikit-learn's OrdinalEncoder, we can easily encode features that have a natural hierarchy, ensuring our models interpret the underlying order correctly. Learn how to use ordinal encoder in Python with sklearn preprocessing to convert ordinal categorical data into numerical values for machine learning models.
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