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Oct 15th, 2019
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  1. # Preprocessing the data to encode categorical data
  2.  
  3. from sklearn.preprocessing import LabelEncoder, OneHotEncoder
  4.  
  5. labelEncoderX = LabelEncoder()
  6. X[:,3] = labelEncoderX.fit_transform(X[:,3])
  7. oneHotEncoder = OneHotEncoder(categorical_features = [3])
  8. X = oneHotEncoder.fit_transform(X).toarray()
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