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Data Science with Python : Disneyland Review Analysis
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 Disneyland Review Analysis. Tutorial to Disneyland Review Analysis and how it's applied using sample code.
This issue is created on contributors request through the thread.
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 : 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 open source journey ahead. 😎
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}
Name: Deepesha Burse Batch: 4 S. No: 136 Approach: Documentation Kindly assign me this issue and add the hacktoberfest label.
This issue has been assigned to @deepeshaburse! 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.
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
