/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

2 votes102 views1 answer
Open file in python directory
Python
7 votes108 views2 answers
How to execute python script in another script
Python
3 votes144 views1 answer
Disable csrf for one url django
Python
2 votes116 views2 answers
Does python short circuit
Python
1 vote98 views1 answer
Count missing values groupby
Python
0 vote104 views1 answer
Discord py message link
Python
26 votes120 views2 answers
Append write python
Python
1 vote112 views1 answer
Get adjacent cells in grid
Python
16 votes108 views6 answers
Python install pandas
Python
1 vote111 views3 answers
Rgb to grayscale python
Python