migrate_block_2.py

preprocess = ColumnTransformer(
    transformers=[
        ("num", StandardScaler(), NUMERICAL_FEATURES),
        ("cat", OneHotEncoder(handle_unknown="ignore"), CATEGORICAL_FEATURES+STRING_CATEGORICAL_FEATURES)
    ]
)

sklearn_model = Pipeline(
    steps=[
        ('preprocessor', preprocess),
        ('classifier', LogisticRegression())
    ]
    
)

sklearn_model.fit(dataframe, labels)
sklearn_model.score(dataframe, labels)

>>> 0.8613861386138614