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df['standardized_column'] = scaler.fit_transform(df[['column']]) Log Transformation: Useful for data that’s highly skewed. It can help in reducing the impact of outlier values. import numpy as np df['log_transformed_column'] = np.log(df['column']) 2. Encoding: For categorical data, use One-Hot