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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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Data Science with Python : Multicollinearity using Ridge regression #3754

Open DhruvBajaj01 opened 3 years ago

DhruvBajaj01 commented 3 years ago

Welcome to 'DSWP' Team, good to see you here

This issue will helps readers in acquiring all the knowledge to learn about knowing Multicollinearity using Ridge regression. Tutorial to Multicollinearity using Ridge regression and how it's applied using visual representations and sample code and techniques

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 : 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 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. 😎

github-actions[bot] commented 3 years ago

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.

ashish-reddy-20-08 commented 3 years ago

@DhruvBajaj01 @prathimacode-hub , Can i work on this for video presentation. Approach : A detailed explanation Batch - 5

deepthi1107 commented 3 years ago

Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do documentation on this issue. approach: a detail explanation with code. @prathimacode-hub.

SaloniThete commented 3 years ago

Name: Saloni Thete Sr.No: 821 Batch: 19 Type: Documentation Approach: Detailed Explanation of Multicollinearity using Ridge regression @prathimacode-hub.Kindly assign :)

prathimacode-hub commented 3 years ago

Issue assigned to @ashish-reddy-20-08 for video and @deepthi1107 for documentation.

prathimacode-hub commented 3 years ago

Let me know if you would like to work on audio. @SaloniThete

SaloniThete commented 3 years ago

@prathimacode-hub Sure I would like to work on audio.Thanks