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

I have also faced the same issue. Following link helped me in fixing this issue. https://github.com/ageron/handson-ml/issues/75

Summarizing changes to be made

1) Define following class in your notebook

class SupervisionFriendlyLabelBinarizer(LabelBinarizer):
    def fit_transform(self, X, y=None):
        return super(SupervisionFriendlyLabelBinarizer,self).fit_transform(X)

2) Modify following piece of code

cat_pipeline = Pipeline([('selector', DataFrameSelector(cat_attribs)),
                         ('label_binarizer', SupervisionFriendlyLabelBinarizer()),])

3) Re-run the notebook. You will be able to run now