In machine learning, naïve Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naïve) independence assumptions between the features.

2017-06-12 · Naive Bayes classification methods are quite simple (in terms of model complexity) and commonly used for tasks such as document classification & spam ...

naive-bayes tutorial article

2018-10-07 · Naïve Bayes explained via math, pure Python and then Scikit-learn.

naive-bayes scikit-learn python tutorial

A condensed version for Bayesian newcomers like myself.

naive-bayes tutorial article

Examples for all the different utilities within scikit-learn.

scikit-learn naive-bayes linear-regression logistic-regression