SkillCorner X PySport Analytics Cup

This repository contains the submission template for the SkillCorner X PySport Analytics Cup Analyst Track. Your submission for the Analyst Track should be on the main branch of your own fork of this repository.

Find the Analytics Cup dataset and tutorials on the SkillCorner Open Data Repository.

Submitting

Make sure your main branch contains:

1. A single Jupyter Notebook in the root of this repository called submission.ipynb
   • This Juypter Notebook can not contain more than 2000 words.
   • All other code should also be contained in this repository, but should be imported into the notebook from the src folder.

or,

1. A single Python file in the root of this repository called main.py
   • This file should not contain more than 2000 words.
   • All other code should also be contained in this repository, but should be imported into the notebook from the src folder.

or,

1. A publicly accessible web app or website written in a language of your choice (e.g. Javascript)

   • Your code should follow a clear and well defined structure.
   • All other code should also be contained in this repository.
   • The URL to the webapp should be included at the bottom of the read me under URL to Web App / Website

2. An abstract of maximum 300 words that follows the Analyst Track Abstract Template.

3. Add a URL to a screen recording video of maximum 60 seconds that shows your work. Add it under the Video URL Section below. (Use YouTube, or any other site to share this video).

4. Submit your GitHub repository on the Analytics Cup Pretalx page

Finally:

• Make sure your GitHub repository does not contain big data files. The tracking data should be loaded directly from the Analytics Cup Data GitHub Repository. For more information on how to load the data directly from GitHub please see this Jupyter Notebook.
• Make sure the submission.ipynb notebook runs on a clean environment, or
• Provide clear and concise instructions how to run the main.py (e.g. streamlit run main.py) if applicable in the Run Instructions Section below.
• Providing a URL to a publically accessible webapp or website with a running version of your submission is mandatory when choosing to submit in a different language then Python, it is encouraged, but optional when submitting in Python.

⚠️ Not adhering to these submission rules and the Analytics Cup Rules may result in a point deduction or disqualification.

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Analyst Track Abstract Template (max. 300 words)

Introduction

Usecase(s)

Potential Audience

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Video URL

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Run Instructions

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[Optional] URL to Web App / Website