17 lines
433 B
Python
17 lines
433 B
Python
# Data preprocessing
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import pandas as pd
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from sklearn.model_selection import train_test_split
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# Importing the dataset
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dataset = pd.read_csv('Data.csv')
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X = dataset.iloc[:, :-1].values
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y = dataset.iloc[:, 3].values
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X_train, X_test, y_train, y_test = train_test_split(
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X, y, test_size=0.2, random_state=0)
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# feature scaling
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# sc_X = StandardScaler()
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# X_train = sc_X.fit_transform(X_train)
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# X_test = sc_X.fit_transform(X_test)
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