Data Science with Python : Q Learning

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

This issue will helps readers in gaining all the guidance that one needs to know about Q Learning. Tutorial to Q Learning and how it's applied using sample code.

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 : Shivang Dubey / 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 open source journey ahead. 😎

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 I would like to contribute in the documentation of this topic. I will give a overview of what is Q-learning, its applications in real world and other theory related to the topic. I will also try to include implementation of Q-learning in notebook and add some useful links at the end for further reading. Vansh Sharma (Serial Number : 680, DS-Python Batch 18)

This issue has been assigned to @vanshhhhh! 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)

@vanshhhhh, I have to unassign you as bot says you have more than 3 open issues assigned on your name as part of GWOC. Because at max overall you cannot work more than 3 open issues at a time as per the guidelines by GWOC team.

@prathimacode-hub ma'am one pull request already merged but issue is opened because of other contributors (audio and video) - check here. and the other one is under review for more than 48 hours

Ok, that's the reason bot didn't accept your assignment. Its fine I will do it manually.

Issue is assigned to @vanshhhhh for documentation

@prathimacode-hub Thanks for understanding ma'am.

It's all automated. So in such cases have to be done manually. @vanshhhhh

@prathimacode-hub kindly close this issue. Thanks.

@vanshhhhh, audio or video contribution isn't done for this issue. So its kept open.

@prathimacode-hub, Can you please assign me video contribution for this mam. M. Ashish Reddy Batch -5 Approach - A detailed explanation with examples

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

@prathimacode-hub , Please evaluate mam.

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

girlscript / winter-of-contributing

Data Science with Python : Q Learning #1828