NBA-attendance-prediction
SQL-for-Data-Analytics
| NBA-attendance-prediction | SQL-for-Data-Analytics | |
|---|---|---|
| 1 | 1 | |
| 9 | 252 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| about 1 year ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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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 👍
SQL-for-Data-Analytics
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Resources for D205 before it changes to Performance Assessment
WGU Library: use it to read SQL for Data Analytics. You're better off skimming the book since the lessons on uCertify just copy the book (but missing some parts). Clone the repo and do all the activities.
What are some alternatives?
nba_api - An API Client package to access the APIs for NBA.com
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.
caRtola - Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-22.
nba-alt-awards
KunOnYomiFrequency - The most common possible readings of the most frequently used Kanji characters.