Data Science with Python : Sliding Window Algorithm

Description

DescriptionWelcome to the 'DSWP' Team, good to see you here

With this issue, readers will get introduced to core information to the Sliding Window Algorithm for K means clustering along with sample code completely in an effective way.

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: Machine Learning

Mentors Assigned: Dhruv Bajaj / Aishani Singh

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 the 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 the 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

Domain

Datascience with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

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

Hello @DhruvBajaj01,
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.

Hello supervisors and mentors will this issue count for hacktoberfest 2021?

Yes, if you would like to. We can add a label to it. @PurviBhoyar21

This issue has been assigned to @ayush572! 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.

I would like to work on the documentation part.

But, I am not getting this thing below To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python"

@ayush572 Sorry But that's not allowed Mentors will assign you You can't spam every where.

Sorry, i dont mean to spam...

You haven't provided any details to get this issue assigned. @ayush572

Um, what details are required to be provided mam?

@prathimacode-hub I t would be great if this issue will come under hacktoberfest 2021. I would love to contribute

Name: Ayush Daga Serial number: #3634 Type: Documentation

I would like to work on the documentation part.

@PurviBhoyar21, cool, to count it under hacktober fest do mention while creating your PR so that label is assigned to it.

Name: Ayush Daga Serial number: #3634 Type: Documentation

I would like to work on the documentation part.

Approach please. @ayush572

Hey @DhruvBajaj01 , I would like to explain this concept using a documentation, where I would be using datasets as examples for the tests and for the outputs I would include the screenshots of the outputs so that the readers can get a good idea of what the algorithm does. My serial numer:490

Approach Introduction to K-means clustering Introduction to Sliding window technique Application of Sliding window technique in K means clustering through code implementation

@prathimacode-hub

Issue assigned to @PranshuSrivastava for documentation.

You just missed up in seconds. No worries, you have other issues for doc else audio / video @ayush572

Hey! I would like to work on this issue. Name- Nayanika Mishra Batch- 9 Type- Audio I will give an overview along with example problems and also the techinques and everything.

Issue assigned to @Nay907 for audio contribution

@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

Issue assigned to @ashish-reddy-20-08 for video contribution

girlscript / winter-of-contributing