Data Science with Python : Wine Quality Prediction

Description

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

With this issue, the readers will know on how to predict the wine quality.

Dataset : https://www.kaggle.com/rajyellow46/wine-quality

This issue is created on contributors request.

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 | Peehu Saxena

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.

/assign Divya Chhoriya Sr no. 444 Batch 12 Type: documentation Approach: wine quality prediction using three different methods

This issue has been assigned to @divya-chhoriya! 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.

The assigned contributor has more than 3 open issues, kindly reassign manually (@Supervisors/Mentors)

@prathimacode-hub Please assign me this issue

Issue assigned to @divya-chhoriya for documentation

Please assign me audio part

Issue assigned to @Aaksha-sharma for audio contribution

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

Once check if this issue is done for audio or not. As it's assigned to Aaksha for it. Just for confirmation so that I could assign it to you. @deepthi1107

girlscript / winter-of-contributing