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

You can create one more Custom Transformer which does the encoding for you.

class CustomLabelEncode(BaseEstimator, TransformerMixin):
    def fit(self, X, y=None):
        return self
    def transform(self, X):
        return LabelEncoder().fit_transform(X);

In this example, we have done LabelEncoding but you can use LabelBinarizer as well