nba-stats-analysis
sports-analytics
| nba-stats-analysis | sports-analytics | |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| - | - | |
| 2.7 | 2.6 | |
| almost 3 years ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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nba-stats-analysis
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Weekly Friday Self-Promotion and Fan Art Thread
I have been using it to make some analytics job on a couple of different points, as I start reading sources like Dean Oliver's Basketball on Paper, and have been uploading it to my GitHub repo. The format is in Jupyter Notebooks, so if anyone is familiar with Python, you can run it on your own computers.
sports-analytics
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New NBA dataset on Kaggle! - Every game 60,000+ (1946-2021) w/ box scores, line scores, series info, and more - every player 4500+ w/ draft data, career stats, biometrics, and more - and every team (30 w/ franchise histories, coaches/staffing, and more). Updated daily, with plans for expansion!
The data is from stats.nba.com via the nba_api on GitHub. I compiled the data through an extraction script, and keep it updated daily via a fully automated Kaggle data pipeline. The pipeline is described here, and the project repository is here
What are some alternatives?
nba_api - An API Client package to access the APIs for NBA.com
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
fastai - The fastai deep learning library
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
football-crunching - Analysis and datasets about football (soccer)