Naive Bayes


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.

Overview

Naive Bayes Classification
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

Tutorials

Unfolding Naïve Bayes from Scratch
Naïve Bayes explained via math, pure Python and then Scikit-learn.
naive-bayes scikit-learn python tutorial

Libraries

General
Scikit-learn
Examples for all the different utilities within scikit-learn.
scikit-learn naive-bayes linear-regression logistic-regression
Table of Contents
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