Data Science with Python : Temporal Difference 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 Temporal Difference Learning. Tutorial to Temporal Difference 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 : Aishani Singh / Jivitesh Jain

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.

Can I take up this task, ma'am?

Batch: 13 Serial: 438 Name: Priyanshu

This issue has been assigned to @pragmatic-philosopher09! 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.

I'll like to work on documentation giving a clear, concise explanation of the concept with some illustrative examples

You can proceed. @pragmatic-philosopher09

Issue is assigned to @pragmatic-philosopher09 for documentation

/assign

Name: Hrugved Kolhe
Batch: 10
Sr. No.:- 330
GitHub Profile
[x] Documentation
Approach: Introduction, properly commented code, images wherever required, proved conclusion

This issue has been assigned to @hrugved06! 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.

This issue is already assigned for other for documentation. if you're interested you can take it for audio / video contribution. @hrugved06

There was no assignee for the issue so I picked it up. The person who was assigned removed himself from the assignee position @prathimacode-hub can you please confirm it

Ok, you can proceed working on it for documentation. @hrugved06

@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do video on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses

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

girlscript / winter-of-contributing

Data Science with Python : Temporal Difference Learning #1831