Naive Bayes

In this lesson, we introduce Naive Bayes and show how to use it for classification tasks.

In Machine Learning, Naive Bayes classifiers are a family of simple “probabilistic classifiers”. They are based on applying Bayes’ theorem with strong independence assumptions between the features.

Before we begin to code, let’s learn some theory about Bayes’ theorem.

Get hands-on with 1200+ tech skills courses.