/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 vote115 views1 answer
Assert_series_equal
Python
2 votes148 views1 answer
Get stats from array
Python
3 votes134 views2 answers
Print first word of a string python and return it
Python
0 vote127 views2 answers
Install python 3.6 on centos
Python
0 vote139 views1 answer
File.open("file.txt);
Python
0 vote118 views1 answer
How to get input from user in python with out press enter
Python
12 votes111 views6 answers
Progress bar in python
Python
0 vote112 views1 answer
Python - remove columns with same name and keep first
Python
13 votes114 views2 answers
Wap to print factorial of a number using function in python
Python
0 vote115 views1 answer
Hex python add 0
Python