Use the ChiSqSelector class from the pyspark.ml.feature module to select the top k features with the highest chi-squared statistics for categorical features.

Use the RFE class from the pyspark.ml.feature module to perform recursive feature elimination based on the importance of features learned by a machine learning model.

Use the VectorSlicer class from the pyspark.ml.feature module to select a subset of features from a vector column.

Use the MinMaxScaler class from the pyspark.ml.feature module to scale the features to a specific range, without performing feature selection.