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from sklearn.preprocessing import StandardScaler

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('../input/linear-regression-dataset/Linear Regression - Sheet1.csv')

standard_scaler = StandardScaler()

standardized_data = standard_scaler.fit_transform(df)

pd.DataFrame(standardized_data, columns=df.columns)