GirlScript
Data Science With Python : BRIEF (Binary Robust Independent Elementary Features)
Description
Welcome to the 'DSWP' Team, good to see you here
With this issue, readers will get introduced to core information to BRIEF (Binary Robust Independent Elementary Features) along with sample code completely in an effective way.
To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and the choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.
If you had referred any resources, add them up in "DS Resources". Similarly, if you had used datasets, include them in "DS Datasets".
Domain: Machine Learning
Mentors Assigned: Dhruv Bajaj / Aishani Singh
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 the issue number along with it.
Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.
Follow Contributing Guidelines & Code of Conduct before start Contributing.
This issue is only for 'GWOC' contributors of the 'DSWP' domain.
All the best. Enjoy your open source journey ahead. 😎
Domain
Datascience with Python
Type of Contribution
Audio, Video, Documentation
Code of Conduct
- [ ] I follow Contributing Guidelines & Code of conduct of this project.
Hello @DhruvBajaj01,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}
I would like to contribute in the documentation of this topic. I will provide all the necessary theory related to BRIEF, real world uses, pros and cons. I will also try to add the implementation part of BRIEF. At the end I'll add some references for the reader
Vansh Sharma (Serial Number : 680, DS-Python Batch 18)
This issue has been assigned to @vanshhhhh! 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.
The assigned contributor has more than 3 open issues, kindly reassign manually (@Supervisors/Mentors)
Issues open because of audio and video contributors. Please assign this issue to me.
