Computer scienceData scienceMachine learningData preprocessing

Feature scaling

Theory

Performing feature normalization

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Suppose you have the following feature column:

[−20, 10, 2, −6, −30, 15][-20,\, 10, \, 2,\, -6, \, -30, \, 15]

Perform normalization on this column. Your answer should contain 2 values: the transformed second and third values (assuming the indexing starts from 1), rounded up to the second decimal, separated by a space.

The feature column as a Python list
feature = [-20, 10, 2, -6, -30, 15]
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