Subnode by user @KGBicheno in node [[scaling]]
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๐ Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Scaling.md by @KGBicheno โ
scaling
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A commonly used practice in feature engineering to tame a feature’s range of values to match the range of other features in the dataset. For example, suppose that you want all floating-point features in the dataset to have a range of 0 to 1. Given a particular feature’s range of 0 to 500, you could scale that feature by dividing each value by 500.
See also normalization.
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