We can convert each catogorical value to a one-hot encoder

I did not understand.

from sklearn.preprocessing import OneHotEncoder


NameError Traceback (most recent call last)
8 encoder=OneHotEncoder()
----> 9 USA_Housing_cat_1hot=encoder.fit_transform(USA_Housing_cat_1hot.reshape(-1,1))

NameError: name ‘USA_Housing_cat_1hot’ is not defined

How can i fix it?

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