NBA-attendance-prediction
caRtola
| NBA-attendance-prediction | caRtola | |
|---|---|---|
| 1 | 1 | |
| 9 | 438 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | 5 months ago | |
| Jupyter Notebook | HTML | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NBA-attendance-prediction
-
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 👍
caRtola
What are some alternatives?
nba_api - An API Client package to access the APIs for NBA.com
vembedr - Functions to Embed Video in HTML
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
tech-diff - Compare different technologies. No BS and all sources linked.
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
SQL-for-Data-Analytics - Perform fast and efficient data analysis with the power of SQL
sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.