January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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Using power transformations on numerical variables
Exponential or power functions are mathematical transformations that follow 
, where lambda can be any exponent. The square and cube root transformations are special cases of power transformations where lambda is 1/2 or 1/3, respectively. In practice, we try different lambdas to determine which one offers the best transformation. In this recipe, we will carry out power transformations using NumPy, scikit-learn, and Feature-engine.
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