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Data preprocessing is a data mining technique that involves transforming raw data into a better understandable or more useful format.

9 votes

StandardScaler before or after splitting data - which is better?

You shouldn't be doing fit_transform(X_test) on the test data. The fit already occurred above. from sklearn.preprocessing import StandardScaler sc = StandardScaler() X_train = sc.fit_transform(X_train …
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