Closed codecademy-docs closed 3 months ago
Hi, I'd like to claim this issue. Thanks!
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?
I have completed this concept entry and waiting to be assigned this issue to submit a PR. Thanks!
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.
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Thanks & Regards, Savi
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Reason/inspiration (optional)
We would like a new entry on the
Naive Bayes
concept under Sklearn. The entry should go in a new file underdocs/content/sklearn/concepts/naive-bayes/naive-bayes.md
.The entry should include:
Syntax
section that provides the syntax for the concept (if applicable)Example
section that provides an example demonstrating the concept in use (if applicable)Codebyte Example
section that provides a codebyte example demonstrating the concept in use (if applicable)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