Update Day 1_Data_Preprocessing.py
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@ -19,7 +19,7 @@ print(Y)
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# from sklearn.impute import SimpleImputer
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# imputer = SimpleImputer(missing_values="NaN", strategy="mean")
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from sklearn.preprocessing import Imputer
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imputer = Imputer(missing_values = "NaN", strategy = "mean", axis = 0)
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imputer = Imputer(missing_values = np.nan, strategy = "mean", axis = 0)
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imputer = imputer.fit(X[ : , 1:3])
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X[ : , 1:3] = imputer.transform(X[ : , 1:3])
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print("---------------------")
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@ -33,7 +33,7 @@ from sklearn.preprocessing import LabelEncoder, OneHotEncoder
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labelencoder_X = LabelEncoder()
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X[ : , 0] = labelencoder_X.fit_transform(X[ : , 0])
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#Creating a dummy variable
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onehotencoder = OneHotEncoder(categorical_features = [0])
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onehotencoder = OneHotEncoder('auto')
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X = onehotencoder.fit_transform(X).toarray()
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labelencoder_Y = LabelEncoder()
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Y = labelencoder_Y.fit_transform(Y)
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