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GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone.
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Density-Based Spatial Clustering of Applications with Noise #6952

Open aishanii opened 3 years ago

aishanii commented 3 years ago

Description

If you had referred any resources, add them up in "DS Resources". Similarly, if you had used datasets, include them in "DS Datasets".

This issue will help in getting a better understanding of 'Density-Based Spatial Clustering of Applications with Noise' in a detailed manner.

It's created on contributors request as mentioned in Discord channel.

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 journey ahead. 🌷

Domain

Datascience with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

github-actions[bot] commented 3 years ago

Hello @aishanii,
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.

HastiSutaria commented 3 years ago

Name = Hasti Sutaria Type = documentation Approach = Practical implementation and theortical overview

HastiSutaria commented 3 years ago

/assign

HastiSutaria commented 3 years ago

I Would like to work on this in documentation format.

github-actions[bot] commented 3 years ago

This issue has been assigned to @HastiSutaria! 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.

prathimacode-hub commented 3 years ago

Have you worked on changes addressed to your PR? @HastiSutaria

HastiSutaria commented 3 years ago

Yes @prathimacode-hub. I made the required changes yesterday itself

HastiSutaria commented 3 years ago

Also ma’am once you approve it. I am ready with another pr completed from my side is data science domain. So I will also create its pr.

prathimacode-hub commented 3 years ago

Sure, you can proceed. @HastiSutaria

kishlayaug15 commented 3 years ago

Name - Kishlay Kumar Batch - 4 Serial No - 673 GithubLink :- https://github.com/kishlayaug15 Approach: A detailed explanation with Audio

prathimacode-hub commented 3 years ago

You had assigned to other issue also i think? @kishlayaug15

HastiSutaria commented 3 years ago

@prathimacode-hub detailed explaination in READme file and practical implementation in ipynb file would be enough ma'am for this issue ?

HastiSutaria commented 3 years ago

@prathimacode-hub Ma'am can I please get the exact path under Machine learning branch where to upload file while creating the PR?

prathimacode-hub commented 3 years ago

Yes, it would be enough. It will go under "Datascience_with_Python/Machine Learning/Tutorials" folder @HastiSutaria