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Post #917 1.98K
ML models don’t all think alike 🤖

❇️ Naive Bayes = probability
❇️ KNN = proximity
❇️ Discriminant Analysis = decision boundaries

Different paths, same goal: accurate classification.

Which one do you reach for first?
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