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# Neema’s Blog

## Introduction

Naive Bayes is a family of simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions between the feauture. Naive Bayes classifier follows under classification in supervised learning task for modeling and predicting categorical variables. It is a very simple algorithm based around conditional probability and counting.