● mastered · kind concept · level 3 · 8h
- Aplica: Feature Engineering
Standardisation and normalisation so features share a comparable range. Essential for distance- and gradient-based methods; irrelevant to trees.
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step.
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- Aplica: Feature Engineering