This repository contains the implementation of a Naive Bayes Classifier for pattern recognition tasks. The classifier is designed to handle various types of data and provides a robust solution for classification problems.
The Naive Bayes Classifier is a probabilistic machine learning model used for classification tasks. It is based on Bayes’ theorem and assumes independence between features. This repository includes a detailed implementation and examples to help you understand and apply the Naive Bayes algorithm.
To use the Naive Bayes Classifier, follow these steps:
Clone the repository:
git clone https://github.com/Samahussien7/naive-bayes-classifier.gitContributions are welcome! Please fork the repository and submit a pull request with your changes. Ensure that your code adheres to the project’s coding standards and includes appropriate tests.