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Naive Bayes classifiers are a collection of classification algorithms depending on Bayes’ Theorem. It is not one algorithm but a family members of algorithms exactly where all of these share a typical theory, i.e.
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person who developed the graph. Information Evaluation and Inference: Any inference you execute - including regression, hypothesis tests, parameter estimation. Discussion of why you chose your strategies and plots. We want you to incorporate a minimum of just one regression and just one speculation exam in your Investigation. Conclusion: What story does your knowledge inform you?
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