NBA-attendance-prediction VS Basketball_Analytics

Compare NBA-attendance-prediction vs Basketball_Analytics and see what are their differences.

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. (by wyattowalsh)

Basketball_Analytics

Repository which contains various scripts and work with various basketball statistics (by danchyy)
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NBA-attendance-prediction Basketball_Analytics
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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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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

Posts with mentions or reviews of NBA-attendance-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

Basketball_Analytics

Posts with mentions or reviews of Basketball_Analytics. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing NBA-attendance-prediction and Basketball_Analytics you can also consider the following projects:

nba_api - An API Client package to access the APIs for NBA.com

sportsipy - A free sports API written for python

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

kepler.gl - Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.

SQL-for-Data-Analytics - Perform fast and efficient data analysis with the power of SQL

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.

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.