Density-Based Spatial Clustering of Applications with Noise

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

[ ] I follow Contributing Guidelines & Code of conduct of this project.

Hello @aishanii,
Thank you for opening an issue. :octocat:
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Check this guide before contributing.

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

I Would like to work on this in documentation format.

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.

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

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

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.

Sure, you can proceed. @HastiSutaria

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

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

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

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

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

girlscript / winter-of-contributing