Data Science with Python : Grocery Stores Analysis and Prediction

girlscript / winter-of-contributing

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.

MIT License

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Description

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

With this issue, it will help us in knowing how to analyze and predict sales for the thousands of product families sold at Favorita stores located in Ecuador.

Dataset : https://www.kaggle.com/c/store-sales-time-series-forecasting/data

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 the 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: Kaggle Competitions

Mentors Assigned : Shivang Dubey | Yash Goel

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 journey ahead. 😎

Domain

Data Science with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

[X] I follow Contributing Guidelines & Code of conduct of this project.

girlscript / winter-of-contributing