Data Science with Python : Ridge and Lasso Regression

Description

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

With this issue, the readers will know on how to work on implement Ridge and Lasso Regression Algorithms using Python

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 : Pushpit Jain | 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 journey ahead. 😎

Domain

Data Science with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

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

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.

Hi, I would like to work on this issue. Name: Sriniketh J Batch No: 17 Serial No: 613 Type: Documentation Approach: Implement both the models on the same Dataset and compare them. Also give a brief overview of Lasso and Ridge Regression.

Issue assigned to @srini047 for documentation

Please assign me audio

I would like to work on this. Pankaj Sawnani - 936 Batch - 21 Issue No - #7398 Type: Video @prathimacode-hub kindly check and assign it to me.

This issue is already assigned to another contributor! Please find/create a new issue to contribute to. You can safely disregard the failed workflow notification for attempting to self-assign on this issue. ❌

I want to be assigned. Name - SHREYA KUMARI Serial Number - 457 Type - Video Approach - introduction, steps and approaches, examples ,complete explanation of ridge and Lasso, applications.

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

Issue assigned to @deepthi1107 for audio contribution

girlscript / winter-of-contributing