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πŸ“– Features and normalizationLearning path
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LessonΒ·difficulty 2/5Β·~15 min

Scale a feature column

Implement scale_features(values).

values is a list of finite numbers. Return min-max scaled values. Empty input returns []; a constant column returns a list of zeros of the same length. In a real ML pipeline, fit parameters on training data and reuse them; this exercise fits one supplied training column.

Before coding, predict one result by hand. After the tests pass, explain your approach and add a boundary example of your own.

Tests

  • Case 1
  • Case 2
  • Case 3
  • Case 4

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