Naive-Bayes-Classifier | Python implementation of the Naive Bayes classifer

by kaushikmupadhya Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Naive-Bayes-Classifier Summary

Naive-Bayes-Classifier is a Jupyter Notebook library. Naive-Bayes-Classifier has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a Python implementation of the Naive Bayes classifer. Ham - Spam Classification.

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Quality

Security

License

Reuse

Support

Naive-Bayes-Classifier has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Naive-Bayes-Classifier has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Naive-Bayes-Classifier is current.

Quality

Naive-Bayes-Classifier has no bugs reported.

Security

Naive-Bayes-Classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Naive-Bayes-Classifier is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Naive-Bayes-Classifier releases are not available. You will need to build from source code and install.

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Naive-Bayes-Classifier Key Features

No Key Features are available at this moment for Naive-Bayes-Classifier.

Naive-Bayes-Classifier Examples and Code Snippets

No Code Snippets are available at this moment for Naive-Bayes-Classifier.

Community Discussions

No Community Discussions are available at this moment for Naive-Bayes-Classifier.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Naive-Bayes-Classifier

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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