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Data Science with Python : Linear Regression Algorithm
Welcome to 'DSWP' Team, good to see you here.
This issue will helps readers in acquiring all the knowledge to learn about getting involved with Linear Regression Algorithm. Tutorial to Linear Regression Algorithm 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.
This issue is created for beginners and who aren't assigned to any issues yet.
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 : Peehu Saxena / Kareem Negm
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.
Approach: using the optimal dataset to explain linear regression and also visualizing both actual and predicted value Id: 253 format: Documentation
Issue assigned to @ayushijindal for documentation
Hello, I am M. Ashish Reddy. I would like to do documentation on this issue. @prathimacode-hub Batch number: 5 serial number:174.
I am done with my first issue @prathimacode-hub. So can you please assign this
I want to work on this issue . Kindly assign me this @prathimacode-hub Name: Sakalya Mitra Serial Number: 62 Batch 2 Type: Video Approach:
Explaining some features of linear regression by implementing Explaining linear regression code
I would like to work on this issue. @prathimacode-hub Name: Basudev Tyagi Batch: Data Science with Python Batch-13 Type: Documentation
Name: Pranjal Mittal Batch: 19 type: Documentation I would love to work on this issue
/assign documentation
Name :Archana M Batch:15 type :audio could you assign it to me.
@prathimacode-hub and mentors: @Kareem-negm / Peehu Saxena Update on the issue: Format: Documentation I am working on the .ipynb file part, soon I'll add PR for this issue. I have taken a dataset to make the concept more understandable. Also, start working on the README.md file.
Hello @prathimacode-hub , please assigned me the issue
@prathimacode-hub ,please assign me the issue
Hello mam , @prathimacode-hub , Can you please assign me video for this issue. Approach: A detailed and clear explanation.
Issue assigned to @ashish-reddy-20-08 for video contribution
@prathimacode-hub , Can you please evaluate my pr mam.
Link: https://github.com/girlscript/winter-of-contributing/pull/3840
Hello, I am Deepthi M with serial number:198, Batch-5. I would like to do audio on this issue. my approach: A detail explanation.