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Simplify code using skrub TableReport and TableVectorizer #866

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#867
Open
Simplify code using skrub TableReport and TableVectorizer#866
#867
@ArturoAmorQ

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@ArturoAmorQ
ArturoAmorQ
opened on Oct 29, 2025
  • Add a notebook + video to show how all the pandas code in the Visual inspection of data subsection can be simplified using skrub.TableReport:
  • Replace ColumnTransformer with skrub.TableVectorizer starting from the Using numerical and categorical variables together notebook
    • In the same notebook, section Fitting a more powerful model, replace OrdinalEncoder by skrub.ToCategorical.
    • Explicitly mention that TableVectorizer makes the column selection automatically by using its dtype
    • Introduce concept of "low/high cardinality" and demonstrate effect of cardinality_threshold on the "native-country" column in the Adult Census dataset.
    • Update visualizing scikit-learn pipelines video to use TableVectorizer (with scikit-learn version >= 1.8)
    • Modify wrap-up quizzes that use the Ames Housing dataset i.e. M1, M4 and M5 to select subset of numerical columns with pandas
  • Redo the datasets description using TableReport

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