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FranciscusRenatus/missing-data.py

Last active June 20, 2017 16:25
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missing-data.py
#Taking care of missing data using Python
from sklearn.preprocessing import Imputer
imputer = Imputer(missing_values = 'NaN', strategy = 'mean', axis=0)
imputer = imputer.fit(X[:,1:3])
X[:, 1:3] = imputer.transform(X[:, 1:3])
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