arvkevi / nba-roster-turnover
Interactive exploration of NBA roster turnover
☆14Updated 5 months ago
Alternatives and similar repositories for nba-roster-turnover:
Users that are interested in nba-roster-turnover are comparing it to the libraries listed below
- Easily make interactive plots of player-tracking data☆11Updated 3 years ago
- ☆8Updated 3 years ago
- ☆33Updated 4 years ago
- Data Scientist code test☆19Updated 4 years ago
- Short, offhand analyses of the NBA☆41Updated 6 years ago
- Collection of code snippets and utilities for streamlit apps☆22Updated 4 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆34Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Intro to Python for Data Science Workshop☆32Updated 6 months ago
- ☆22Updated 2 years ago
- Jupyter notebook tutorials for football analytics☆9Updated 3 years ago
- Baseball data analysis in Python☆5Updated 3 years ago
- Intermediate Python for Data Science Workshop☆24Updated 6 months ago
- A Coronavirus Dashboard that updates information realtime using Streamlit☆19Updated last year
- A pedagogical implementation of panel apps served up on a remote machine.☆14Updated 3 years ago
- Get introduced to Directed Acyclic Graphs (DAGs) through Dagster with a simple ML program☆12Updated last year
- Multi-core processing of 'Gameday' data from Major League Baseball Advanced Media. Additional tools to parallelize large data sets and wr…☆42Updated 5 years ago
- A minimal example of how to use streamlit on Heroku☆21Updated 4 years ago
- Advanced Python for Data Science Workshop☆13Updated 6 months ago
- Practical data science tutorials - using NBA data☆13Updated 4 years ago
- ☆14Updated 2 years ago
- R Code + R Notebook on how to process and visualize NCAA basketball data.☆16Updated 6 years ago
- This is the repository for the API backend of theseventhman.net☆10Updated 2 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- ☆13Updated 5 years ago
- Implementing ASA's Win Probability Model☆18Updated 2 years ago
- Material for Talk Python Training course on Getting Started with Dask.☆28Updated 2 years ago
- R Shiny App for visualizing NBA Data☆18Updated 6 years ago
- ☆12Updated 9 years ago
- using probabilistic programming to build win probability model for NCAAM basketball☆17Updated 4 years ago