Open prathimacode-hub opened 3 years ago
Hello @prathimacode-hub,
Thank you for opening an issue. :octocat:
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I would Like to work on this issue @prathimacode-hub Name: Sakalya Mitra Serial Number: 62 Batch2 Type: Documentation Approach:
1) Mathematical Explanation of what is least squares 2) Mathematical explanation ordinary least square method 3) Implementing it it in Python
Already an issue is assigned to you @Sakalya100
Yes I will work on the one assigned
Hello! @prathimacode-hub Name: Gargi Tewari S.No: 752 Github: https://github.com/tewarigargi Issue: Can I work on this issue? Approach: I will explain the theory, mathematics behind it. I will also explain it in the form of code and also the pros and cons of it.
Already an issue is assigned to you. @tewarigargi
Please assign this issue to me. I would like to work on this. Name: Rishita Srivastava Serial number: 300 Batch Number: 9 Type: Documentation
I would like to explain the mathematical concept by some basic theory about it followed by its implementation.
Issue is assigned to @Rishita11 for documentation
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
@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
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 Ordinary Least Squares. Tutorial to Ordinary Least Squares 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 : Ishika Kesarwani / Dhruv Bajaj
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. 😎