Ds5500_player_tracking_and_identification_nba
Capstone project for DS5500. A pipeline for automatic player tracking and identification from NBA broadcast videos.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Spark Nba Analytics | 41 | 7 years ago | mit | HTML | ||||||
| Analyzing NBA data using Spark 2.1 | ||||||||||
| Nba Attendance Prediction | 7 | a year ago | 22 | Jupyter Notebook | ||||||
| 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. | ||||||||||
| Ds5500_player_tracking_and_identification_nba | 5 | 3 years ago | Python | |||||||
| Capstone project for DS5500. A pipeline for automatic player tracking and identification from NBA broadcast videos. | ||||||||||
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Python
Pipeline
Nba
Basketball