Closed abhisheks008 closed 3 years ago
Hello @abhisheks008,
Thank you for opening an issue. :octocat:
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I want to contribute to this issue : Name-Nikita Bhrugumaharshi Emberi Domain-Machine Learning Batch-6 Serial No-992 Issue Number-2943 Choice-Documentation
@NikitaEmberi This is Machine learning domain.
I would like to contribute @abhisheks008 sir Name: Subhrato Som Batch: 2 Contribution type: Documentation
@abhisheks008 Sir I apologize, while commenting for request on both domains simultaneously, I forgot to change the domain name.
@NikitaEmberi No issues, issue assigned to you. Go ahead 🚀
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 Random Forest 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