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girlscript / winter-of-contributing

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: Hyperparameter tuning #6367

Open Pushpit07 opened 2 years ago

Pushpit07 commented 2 years ago

Description

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

With this issue, readers will get introduced to the core information about 'Hyperparameter tuning'.

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 : @Pushpit07 / @aishanii

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

github-actions[bot] commented 2 years ago

Hello @Pushpit07,
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.

ishrutis commented 2 years ago

I want to be assigned. Name - SHREYA KUMARI Serial Number - 457 Type - Documentation Approach - introduction, steps and approaches, examples ,benefits of hyperparameter tuning, applications.

prathimacode-hub commented 2 years ago

Issue assigned to @ishreyakumari for documentation

kishlayaug15 commented 2 years ago

Kishlay Kumar Serial no : 501 Type: Audio Approach: Explaining Hyperparameter Tuning @prathimacode-hub assign me this issue I'll work on it Github Link : https://github.com/kishlayaug15

ishrutis commented 2 years ago

ence_With_Python/ directory & Datascience_With_Pyt

@prathimacode-hub there is already a merged document on Hyperparameter tuning. Please check this - https://github.com/girlscript/winter-of-contributing/tree/Datascience_With_Python/Datascience_With_Python/Machine%20Learning/Tutorials/Hyperparameter%20Tuning Do I need to create again, document of hyperParameter?

Pushpit07 commented 2 years ago

ence_With_Python/ directory & Datascience_With_Pyt

@prathimacode-hub there is already a merged document on Hyperparameter tuning. Please check this - https://github.com/girlscript/winter-of-contributing/tree/Datascience_With_Python/Datascience_With_Python/Machine%20Learning/Tutorials/Hyperparameter%20Tuning Do I need to create again, document of hyperParameter?

Hyperparameter tuning looks like already present. We can close this issue @prathimacode-hub

prathimacode-hub commented 2 years ago

Please don't close issues. @Pushpit07 @ishreyakumari