Open prathimacode-hub opened 2 years ago
@prathimacode-hub I would like to work on this issue. i will write the information about unsupervised learning and coding regarding it.
Type : Documentation Sr. No: 146
Ok, issue assigned to @Robinrai2612 for documentation.
I want to contribute to this issue :
Name-Bhaswati Roy
Domain-Data Science with Python
Batch-19
Serial No-787
Issue Number-428
Contribution Ideas- all kinds of approaches for clustering and association and some use cases, how is unsupervised learning diff from supervised learning
I would be glad to work on this issue. Name : Anushka Mishra Batch : 9 Serial No.: 291 Type : Documentation Approach:-
Brief Introduction to Machine Learning and then explaining Unsupervised Learning in detail Different types of clusterings How to choose the number of clusters PCA Algorithm
I would be glad to work on this issue. Name : Anushka Mishra Batch : 9 Serial No.: 291 Type : Documentation Approach:-
Brief Introduction to Machine Learning and then explaining Unsupervised Learning in detail Different types of clusterings How to choose the number of clusters PCA Algorithm
Are you in for audio / video?
Hello @prathimacode-hub , Please put me up as an Assignees
Hello @prathimacode-hub can I work on the video part of this issue?
Very good job @Robinrai2612 , keep contributing
Issue assigned to @pankaj-Makhijani for video contribution
@prathimacode-hub, Can you please assign me a audio contribution for this mam. M. Ashish Reddy Batch -5 Approach - A detailed explanation with examples
Issue assigned to @ashish-reddy-20-08 for audio contribution
Can you please evaluate my PR mam. @prathimacode-hub
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about Introduction to Unsupervised Learning. Tutorial to Unsupervised Learning and how it's applied to models.
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 : Kareem Negm / Jivitesh Jain 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. 😎