Skrub in Python: Automated Feature Engineering for Messy Tabular Data (2026)
Skrub 0.9 turns messy pandas or Polars DataFrames into sklearn-ready features with one call. Covers TableVectorizer, tabular_pipeline, encoders, fuzzy joins, and DataOps.
Skrub 0.9 turns messy pandas or Polars DataFrames into sklearn-ready features with one call. Covers TableVectorizer, tabular_pipeline, encoders, fuzzy joins, and DataOps.