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.
| 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
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R
Machine Learning
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Pipeline
Data Science
Data Visualization
Data Analytics
Nba