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[Concept Entry] Sklearn naive-bayes #4930

Closed codecademy-docs closed 1 month ago

codecademy-docs commented 2 months ago

Reason/inspiration (optional)

We would like a new entry on the Naive Bayes concept under Sklearn. The entry should go in a new file under docs/content/sklearn/concepts/naive-bayes/naive-bayes.md.

The entry should include:

Please refer to the concept entry template, content standards, and markdown style guide when working on the PR for this issue.

Entry Type (select all that apply)

New Concept Entrty for Existing Topic

Code of Conduct

For Maintainers

uhck commented 1 month ago

Hi, I'd like to claim this issue. Thanks!

uhck commented 1 month ago

After doing a little research, I found sklearn contains several different NB classifier functions. I start off with an overview of Naive Bayes, then a subsection for Bernoulli, Categorical, Gaussian, Multinomial and Complement NB. Each subsection will have a short description and a Codebyte example. I don't get into the mathematical formulas, just how the functions are designed to work and why. Does this format work?

uhck commented 1 month ago

I have completed this concept entry and waiting to be assigned this issue to submit a PR. Thanks!

SaviDahegaonkar commented 1 month ago

Hey @uhck, Congratulations! You’re assigned 🎉 In addition to the documents linked in the description, please also look at the Contribution Guide. After creating a PR, the maintainer(s) (with the collaborator label) will add comments/suggestions to address any revisions before approval.

Is this your first contribution to Codecademy Docs? If so, we’re curious to know how you found out about contributing to Docs.

Thanks & Regards, Savi

github-actions[bot] commented 1 month ago

🌸 Thanks for closing this Issue! Please head over to the Docs Forum if you have any questions about Docs, or reply to the thread on Possible Content Discussion to share ideas and collaborate with other contributors, maintainers, or super users to determine good future issues that will help expand Docs!