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I am a beginner in ML, and I am working on a classification problem on big data (its shape is (8921483, 52)) which its features are mostly categorical. One of the features has 175365 different categories. I encoded it via the frequency encoding method and reduced the categories to 2081. However, the value of the encoded categories mostly is very small numbers (s.t. 1.120890e-07).

Can I normalize the encoded values (after frequency encoding)?

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