---
title: "Discussion on \"How Naive Bayes Classifiers Work – with Python Code Examples\" | Hashnode"
description: "Discussion on \"How Naive Bayes Classifiers Work – with Python Code Examples\". Naive Bayes Classifiers (NBC) are simple yet powerful Machine Learning algorithms. They are based on conditional probability and Bayes's Theorem.\nIn this post, I explain \"the trick\" behind NBC and I'll give you an example that we can use to solve a c..."
url: "https://hashnode.com/posts/how-naive-bayes-classifiers-work-with-python-code-examples/5fa574da0163314ab6d7dfa3"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [How Naive Bayes Classifiers Work – with Python Code Examples](https://blog.jayjaydev.com/how-naive-bayes-classifiers-work-with-python-code-examples?utm_source=hashnode&utm_medium=feed)

Naive Bayes Classifiers (NBC) are simple yet powerful Machine Learning algorithms. They are based on conditional probability and Bayes's Theorem. In this post, I explain "the trick" behind NBC and I'll give you an example that we can use to solve a c...

Nov 6, 2020 · 19 min read · blog.jayjaydev.com  
Read the article

-   [#machine-learning](https://hashnode.com/tag/machine-learning)

## Written by

[Jose Jorge Rodriguez](https://hashnode.com/@josejorgers)

@josejorgers · Havana, Cuba

  
[View profile](https://hashnode.com/@josejorgers)

Computer scientist, teacher, researcher and developer

Computer Scientist. Researching on Artificial Intelligence and working as a Software Engineer. Cuban based in Spain.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.