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