DATASCIENCE_BDS Telegram 919
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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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?

BY Data science/ML/AI






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