This repository contains analysis and visualization of NBA Players and Teams, designed to be utilized in a Streamlit-based web application. The app provides an interactive interface for visualizing the stats.
For more information about the training process, please check the nba-vis.ipynb file in the training folder.
If you encounter message This app has gone to sleep due to inactivity, click Yes, get this app back up! button to wake the app back up.
If the demo page is not working, you can fork or clone this repository and run the application locally by following these steps:
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Clone the repository:
git clone https://github.com/verneylmavt/st-nba-vis.git cd st-nba-vis -
Install the required dependencies:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py