/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

1 vote137 views1 answer
Img read
Python
19 votes135 views5 answers
Replace key of dictionary python
Python
204 votes283 views6 answers
Random python
Python
0 vote129 views1 answer
How to set default value in many2one
Python
1 vote136 views1 answer
Python game over screen
Python
-1 vote143 views2 answers
Scaling
Python
114 votes120 views5 answers
How to use inputs in python
Python
0 vote135 views1 answer
Python get ppretty string representaiton of dictinary
Python
12 votes133 views2 answers
Python delete directory if exists
Python
1 vote120 views1 answer
Cool advances python ptoject ideas
Python