Open prathimacode-hub opened 3 years ago
Please assign me this Shubh Dholakiya -362 Documentation DSP - Batch -10
Approach please. @shubhdholakiya
I will do the implementation part of item-based collaborative filtering along with python with the theory related to the topic if needed.
It is needed to explain both the theory and implementation. Issue assigned to @shubhdholakiya for documentation.
It is needed to explain both the theory and implementation. Issue assigned to @shubhdholakiya for documentation.
Sure.
@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 providing all the guidance that one has to know about Collaborative Filtering. Tutorial to Collaborative Filtering 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 / Arya Patel
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. 😎