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GirlScript
Data Science with Python : Digit Recognizer
Description
Welcome to the 'DSWP' Team, good to see you here.
With this issue, the readers will know to use computer vision with famous MNIST data to recognize the digits
Here is the dataset to follow : https://www.kaggle.com/c/digit-recognizer/data
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 the 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: Kaggle Competitions
Mentors Assigned : Peehu Saxena | Ankit Kumar
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 journey ahead. 😎
Domain
Data Science with Python
Type of Contribution
Audio, Video, Documentation
Code of Conduct
- [X] I follow Contributing Guidelines & Code of conduct of this project.
Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}
Vishva Rana Batch -15 Serial - 495 Type - Documentation Approach : Building a CNN using mnist dataset that predicts the probability of digits in a list and finding the maximum of them to predict which digit it resonates the most
/assign Divya Chhoriya Sr no. 444 Type: documentation Batch 12 Build CNN to recognize MNIST digits
This issue has been assigned to @divya-chhoriya! 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.
The assigned contributor has more than 3 open issues, kindly reassign manually (@Supervisors/Mentors)
@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
