Open prathimacode-hub opened 3 years ago
Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
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Serial number - 495 Batch - 15 Choice : Documentation Approach : Step by step explanation of the process from reading and understanding the data, why and which models to be used, optical character recognition of written equation to mathematical equation and then building the cnn model ,with examples, images and code
/assign
This issue has been assigned to @vishvarana! 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.
Issue has been assigned to @vishvarana for documentation
Hello @prathimacode-hub , please assigned me the issue
I am working on this issue, but due to exams I am not able to give enough time to it, can you add pinned label so that it doesn't get unassigned? My exams are until 6th of this month
Ok, by when can i expect your PR? @vishvarana
By this weekend for sure, even before that if I get proper time
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 Handwritten Equation solver using CNN. Tutorial to Handwritten Equation solver using CNN 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 : Deep Learning
Mentors Assigned : Kareem Negm / 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. 😎