PCA is intended for use with strictly numeric data. Mathematically, the technique works with Boolean variables (0-1 encoded) and for one-hot encoded categorical data. But conceptually, applying PCA to ...
Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.
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