Naive Bayes Classification Program in Python from Scratch

Naive Bayes classifiers are a family of “probabilistic classifiers” based on Bayes’ theorem with strong independence between the features. They are among the simplest Bayesian network models and are capable of achieving high accuracy levels. Bayes theorem states mathematically as:P(A|B) = ( P(B|A) * P(A) )/…