Closed abhisheks008 closed 2 years ago
Hello @abhisheks008,
Thank you for opening an issue. :octocat:
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This issue has been assigned to @hrugved06! It will become unassigned if it isn't closed within 12 days. A maintainer can also add the pinned label to prevent it from being unassigned.
@hrugved06 Complete this issue by this wednesday, if you not gonna work on it, then tell me I'll unassign you.
@hrugved06 Complete this issue by this wednesday, if you not gonna work on it, then tell me I'll unassign you.
Sure
Then complete this one, without further spamming.
Description
📌 Issues for Week 2
Welcome to 'ML' Team, good to see you here
:arrow_forward: This issue will helps readers in acquiring all the knowledge that one needs to know about ----
Implement Naive Bayes without using any standard ML library like scikit-learn or more.
:red_circle: To get assigned to this issue, add your Batch Numbers mentioned in the spreadsheet of "Machine Learning", the approach one would follow and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.
✔️ Domain : Machine Learning
:red_circle::yellow_circle: Points to Note :
The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Changes should be made inside the
Machine Learning/Machine_Learning/Supervised_Machine_Learning
Branch.Follow Contributing Guidelines & Code of Conduct before start Contributing.
This issue is only for 'GWOC' contributors of 'Machine Learning' domain.
Dataset to be used : IRIS DATASET. (No other datasets will be entertained.)
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
Domain
Machine Learning
Type of Contribution
Documentation
Code of Conduct