Top 3 Jupyter Notebook nba Projects
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Basketball_Analytics
Repository which contains various scripts and work with various basketball statistics
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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.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook nba related posts
- 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!
- Selfpromotion Thread Refresh Youre Free To
Index
What are some of the best open-source nba projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Basketball_Analytics | 145 |
| 2 | NBA-attendance-prediction | 9 |
| 3 | nba-alt-awards | 5 |
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