A compilation of resources for sport scientist building Athlete Management Tools in Shiny
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Updated
Aug 21, 2022
A compilation of resources for sport scientist building Athlete Management Tools in Shiny
Provides a pseudo API for TFRRS to query Athletes or Teams
Web Scraping from Asian Games 2018 (EN) Website
The source code of the Django app that is running my Athlete website.
A Flask application allowing the user to upload a ECG to a webserver and get a prediction back
This data analysis project utilizes Python for processing, with SQL for data extraction and libraries like NumPy and Matplotlib for data visualization.
Add a description, image, and links to the athlete topic page so that developers can more easily learn about it.
To associate your repository with the athlete topic, visit your repo's landing page and select "manage topics."