Open prathimacode-hub opened 3 years ago
Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
Check this guide before contributing.
@prathimacode-hub I would like to contribute to this issue. Name: Akshat Runwal Serial number: 443 Type: Documentation Approach: The document will include the concept of Item Based Filtering in Data Science and then the explanation of the same with the help of an example(i.e. Recommendation System)
Issue assigned to @runwalakshat5 for documentation
@prathimacode-hub , Can you please assign me this issue for video contribution mam.
Issue assigned to @ashish-reddy-20-08 for video contribution
@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do Audio 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 audio contribution
Welcome to 'DSWP' Team, good to see you here.
This issue will helps readers in acquiring all the knowledge to learn about getting involved with Item Based Filtering System. Tutorial to Item Based Filtering System 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.
This issue is created for beginners and who aren't assigned to any issues yet.
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 / Peehu Saxena
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. 😎