Open prathimacode-hub opened 2 years ago
Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
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/assign Name:- Vadiraj Rao Batch:- 9 Serial No:- 293 Type:- Documentation Approach:- Introduction to topic, theoretical explanation of algorithm, explanation using diagrams, example code snippets
This issue has been assigned to @redmaniac1105! 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.
@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
Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do audio on this issue. My approach: a detailed explanation
Issue assigned to @deepthi1107 for audio contribution
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in gaining all the guidance that one needs to know about SARSA Algorithm. Tutorial to SARSA Algorithm 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 : Arya Patel / Ishika Kesarwani
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. 😎