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Machine Learning FAQ

Feature engineering may include all different sorts of feature transformations in both directions: Higher-dimensional feature spaces (e.g., polynomials), lower dimensional feature spaces (dimensionality reduction like PCA, LDA, etc., hashing, clustering), or you keep the dimensions but change the distribution of your data (e.g., log transformation, standardization, min-max scaling etc.)

Yelawolf - Till It’s Gone

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