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I have gone through few articles but I am not convinced on what should I do with these. I know from business standpoint it might be good to consider fraudulent transactions happening from unknown locations. But I don't know how to use this in my data as dummy encoding might not be good solution.

how to represent geography or zip code in machine learning model or recommender system?

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