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How do you handle categorical data?

Mid Python
Quick Answer Handle categorical data: pandas Categorical type for memory efficiency. One-hot encoding: pd.get_dummies(df["col"]) or scikit-learn OneHotEncoder. Label encoding: LabelEncoder for ordinal data with natural order. Ordinal encoding: OrdinalEncoder when order matters. Target encoding for high-cardinality categoricals. Always encode test data using fit from training data to prevent data leakage.

Answer

Convert categories to numeric using encoding.
One-hot for nominal, label encoding for ordinal.
Required for ML algorithms.
S
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