fit_transform() takes 2 positional arguments but 3 were given with LabelBinarizer

Question

I am totally new to Machine Learning and I have been working with unsupervised learning technique.

Image shows my sample Data(After all Cleaning) Screenshot : Sample

Answer 1

We can just add attribute sparce_output=False

cat_pipeline = Pipeline([
  ('selector', DataFrameSelector(cat_attribs)),
  ('label_binarizer', LabelBinarizer(sparse_output=False)),   
])