Naive Bayes Classification

In-depth explanation of the Naive Bayes family of classifiers, including a text classification example in Python

Dr. Roi Yehoshua
Towards Data Science
23 min readJun 1, 2023

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Photo by Mediocre Studio on Unsplash

The Naive Bayes classifiers are a family of probabilistic classifiers that are based on applying Bayes’ theorem with naive assumption on independence between the features.

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Teaching Professor for Data Science and ML at Northeastern University | Top Writer in AI | 200K+ Views on Medium | https://www.linkedin.com/in/roi-yehoshua/