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Adding Naive bayes in Machine learning docs #3142

Closed Shantnu-singh closed 1 month ago

Shantnu-singh commented 1 month ago

Is there an existing issue for this?

Feature Description

feature will include comprehensive documentation on the Naive Bayes algorithm. This will cover its theoretical foundations, practical applications, and step-by-step guides on implementing Naive Bayes using skelarn.

Use Case

This feature benefits students, educators, and practitioners by offering clear and accessible documentation on Naive Bayes. Students can use it to learn and implement the algorithm in their projects, educators can integrate it into their teaching materials, and practitioners can refer to it for developing efficient classification models, enhancing their machine learning toolkit.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

github-actions[bot] commented 1 month ago

Hi @Shantnu-singh! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!

github-actions[bot] commented 1 month ago

Hello @Shantnu-singh! Your issue #3142 has been closed. Thank you for your contribution!