NBA-attendance-prediction
Basketball_Analytics
NBA-attendance-prediction | Basketball_Analytics | |
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1 | 1 | |
9 | 145 | |
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0.0 | 4.1 | |
about 1 year ago | 3 months ago | |
Jupyter Notebook | Jupyter Notebook | |
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NBA-attendance-prediction
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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 current iteration contains attendance numbers through the Box Scores within the Game table. It's actually funny you ask about that particular feature; that was my inspiration for creating the dataset in general. I had previously scraped data from basketball-reference.com to use in order to create an attendance prediction tool for NBA stadium organization leaders and struggled to find reliable, robust data. However, via stats.nba.com, the attendance data is rather solid 👍
Basketball_Analytics
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Selfpromotion Thread Refresh Youre Free To
Also, I post most, if not all code on my github, so if there are any coders feel free to take a look! :)
What are some alternatives?
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ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
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openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.
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