Open prathimacode-hub opened 2 years ago
Hello @prathimacode-hub,
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.
I would like to contribute a Documentation on this issue. Name - Rica Ghosh Serial no - 229 Batch - 7 Issue no - #8736 Type - Documentation Approach - AutoML intro, working, pros-cons & applications
Issue assigned to @RicaGhosh for documentation
Hello @prathimacode-hub - I've been learning ML and coding for the past few months now and I'm looking for a good first issue to which i can contribute to. I'd be glad to help. Let me know if I can contribute in any way. Thank you.
This issue is open only for audio and video contribution. Kindly go through the guidelines and if you are ok to proceed. Let me know so that I can assign it to you. @kumarmohit3194
Description
Welcome to the 'DSWP' Team, good to see you here.
With this issue, the readers will know on how to work on Automated ML.
This issue is created on contributor's request.
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 : Aishani Singh | Dhruv Bajaj
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 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 'DSWP' domain.
All the best. Enjoy your journey ahead. 😎
Domain
Data Science with Python
Type of Contribution
Audio, Video, Documentation
Code of Conduct