Skip to content
#

naive-bayes-classification

Here are 218 public repositories matching this topic...

The Naive Bayesian classifier is based on Bayes’ theorem with independence assumptions between predictors. A Naive Bayesian model is easy to build, with no complicated iterative parameter estimation which makes it particularly useful for very large datasets. Despite its simplicity, the Naive Bayesian classifier often does surprisingly well and i…

  • Updated Feb 25, 2018
  • Python

Improve this page

Add a description, image, and links to the naive-bayes-classification topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the naive-bayes-classification topic, visit your repo's landing page and select "manage topics."

Learn more