# Naive Bayes Classifier

## Description

The Naive Bayes is a module used for applying the Naive Bayes theore

It is a particularly popular algorithm for : sentiment analysis, medical diagnosis, and weather forecasting .&#x20;

## Parameters

&#x20;The  parameters enable to apply the classic variants of models:&#x20;

* **Bernoulli**&#x20;
* **Categorical**&#x20;
* **Complement**
* **Gaussian**&#x20;
* **Multinomial**

![The Naive Bayes is a popular algorithm .](https://1833277725-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lyc1OXsKqB2S62LxsOR%2F-M1QczVqQSHBNOjolunU%2F-M1QecMj_yX1uNakBFCh%2Fimage.png?alt=media\&token=9fba1b11-4e92-449d-a78b-d25aa19bcd0a)

{% hint style="info" %}
The **official documentation** of the  Naive Bayes Classifier is found [here.](https://scikit-learn.org/stable/modules/naive_bayes.html)
{% endhint %}
