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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 : Classical Forecasting Methods #432

Open prathimacode-hub opened 3 years ago

prathimacode-hub commented 3 years ago

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

This issue will helps readers in giving all the guidance that one needs to learn about Classical Forecasting Methods. Tutorial to Classical Forecasting Methods 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 : Kareem Negm / Nithin

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. 😎

ShreytaSingh commented 3 years ago

i would love to be assigned for this issue.will be doing via documentation and video

prathimacode-hub commented 3 years ago

Ok let me know of your serial number and approach you would be following up. @ShreytaSingh

NikitaEmberi commented 3 years ago

I want to contribute to this issue : Name-Nikita Emberi Domain-Data Science with Python Batch-19 Serial No-797 Issue Number-432 Type-Documentation Contribution Approaches- what is time series forecasting?, 11 different classical time series forecasting methods, math behind each method, code snippet demonstrating their implementation.

prathimacode-hub commented 3 years ago

@NikitaEmberi, Already an issue is assigned to you.

ProMinato500 commented 3 years ago

I would like to work on this issue which is issue no. #432 Name - Pradipta Nandi Sno - 250 Documentation

1anshu-56 commented 3 years ago

I would like to work on this. Anshu Priya - 553 Batch - 16 Issue No - #432 Type: Documentation

Approaches:

  1. What is time series forecasting?
  2. Different types of classical time series forecasting methods.
prathimacode-hub commented 3 years ago

Issue is assigned to @1anshu-56 for documentation as all the details have been provided.

@ProMinato500, couldn't assign this issue to you as you had missed saying your approach you would follow up. No worries, many more to come.

ShreytaSingh commented 3 years ago

Ok let me know of your serial number and approach you would be following up. @ShreytaSingh

yes my serial number is 186 batch 6

prathimacode-hub commented 3 years ago

If you are up for audio/video let me know, since documentation is already assigned. @ShreytaSingh

prathimacode-hub commented 3 years ago

Issue is assigned to @ShreytaSingh for Video contribution.

1anshu-56 commented 3 years ago

Thank you!🙂 @prathimacode-hub

Kareem-negm commented 3 years ago

Hello @prathimacode-hub , Please put me up as an Assignees

Kareem-negm commented 3 years ago

Hello guys @ShreytaSingh @1anshu-56 , please if there are any PRs mention this issue to review and merge it

ashish-reddy-20-08 commented 2 years ago

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

prathimacode-hub commented 2 years ago

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