This repository contains a collection of data structures and algorithms implemented in various programming languages. It is designed to help learners understand key concepts through hands-on examples. Contributions and improvements are welcome!
Add the Naive Bayes algorithm for classification tasks. This probabilistic classifier will be based on applying Bayes' theorem with strong independence assumptions
Motivation
Naive Bayes is a simple yet effective algorithm, especially for text classification tasks. This feature will provide users with a lightweight and efficient option for classification problems.
Feature Name
Add Naive Bayes Visualizations
Feature Description
Add the Naive Bayes algorithm for classification tasks. This probabilistic classifier will be based on applying Bayes' theorem with strong independence assumptions
Motivation
Naive Bayes is a simple yet effective algorithm, especially for text classification tasks. This feature will provide users with a lightweight and efficient option for classification problems.
Implementation Suggestions (Optional)
No response
Feature Type
New Algorithm
Does this feature require additional resources?
References (Optional)
No response