Open prathimacode-hub opened 3 years ago
Hello @prathimacode-hub I am Sakalya from Batch 2 of DSWP I want to work on this issue
Serial Number: 62 Type: Documentation Approach: 1) What is Stochastic Gradient 2) Application in Data Science 3) Implementation of Stochastic Gradient using Code
Kindly mention serial number, choice and approach you would follow. @Sakalya100
Done. Updated @prathimacode-hub
Issue assigned to @Sakalya100 for documentation
I want to contribute through audio in this
@prathimacode-hub add me as assignee
Issue assigned to @Aaksha-sharma for audio contribution
@prathimacode-hub maam i have already made pr to this issue long back but it has not been acknowledged
Can you share the link of your PR? @Aaksha-sharma
@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do video on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses
Issue assigned to @ashish-reddy-20-08 for video contribution
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in acquiring all the knowledge that one needs to know about Stochastic Gradient Descent . Tutorial to Stochastic Gradient Descent and how it's applied using sample code.
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 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 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 open source journey ahead. 😎