Open prathimacode-hub opened 3 years ago
Hello @prathimacode-hub,
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Sarmistha Sarna Serial no:614 Type: documentation Approach: depression binary classification using various algorithm and accuracy check
Issue assigned to @ron352 for documentation
Kishlay Kumar Serial no : 501 Type: documentation, Audio Approach: Detection using Different ML and DL algorithms using Sklearn, CNN layers, TensorFlow and other required libraries
@prathimacode-hub assign me this issue I'll work on it
This issue is already assigned to another contributor! Please find/create a new issue to contribute to. You can safely disregard the failed workflow notification for attempting to self-assign on this issue. ❌
Issue is assigned to @kishlayaug15 for audio contribution
@prathimacode-hub I was working on audio of Depression Detection with ML #3521 & Image Retrieval #4386 . I have made necessary changes (added audio and description) for both and created a PR . Please check the PR #5588 . And please assist if their any errors and need to be improved.
Thankyou
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 Depression Detection using ML. Tutorial to Depression Detection using ML 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 : AishanI Singh / Dhruv Bajaj
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. 😎