caRtola VS NBA-attendance-prediction

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

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. (by henriquepgomide)

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)
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caRtola NBA-attendance-prediction
1 1
438 9
- -
0.0 0.0
5 months ago about 1 year ago
HTML Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

caRtola

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

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.

What are some alternatives?

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

vembedr - Functions to Embed Video in HTML

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

surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny

Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics

tech-diff - Compare different technologies. No BS and all sources linked.

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b