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import numpy as np
import pandas as pd


    

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np.set_printoptions(precision=3, suppress=True)


    

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dataset = pd.read_csv('Data.csv')


    

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X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, -1].values


    

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from sklearn.model_selection import train_test_split


    

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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)


    

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from sklearn.preprocessing import StandardScaler


    

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sc_X = StandardScaler()
X_train = sc_X.fit_transform(X_train)
X_test = sc_X.transform(X_test)