/Python/OneHotEncoder(categorical_features=

OneHotEncoder(categorical_features=

#Encoding the categorical data
from sklearn.preprocessing import LabelEncoder

labelencoder_X = LabelEncoder()
X[:,0] = labelencoder_X.fit_transform(X[:,0])

#we are dummy encoding as the machine learning algorithms will be
#confused with the values like Spain > Germany > France
from sklearn.preprocessing import OneHotEncoder

onehotencoder = OneHotEncoder(categorical_features=[0])
X = onehotencoder.fit_transform(X).toarray()

Source: stackoverflow.com

Similar codes

0 vote340 views1 answer
Clustermap subplots
Python
0 vote328 views1 answer
How to count categories in a csv command line
Python
3 votes314 views1 answer
Normalize values between 0 and 1 python
Python
-2 votes356 views2 answers
Django form date picker
Python Django
3 votes348 views1 answer
How to find the multiples of a number in python
Python
0 vote328 views1 answer
Genrate random code in django
Python
3 votes343 views2 answers
Python selenium type in input
Python
5 votes315 views2 answers
Convert response to json python
Python
43 votes327 views6 answers
Pygame draw line
Python
0 vote346 views1 answer
Add to middle of string python
Python