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)
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions. (by mGalarnyk)
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| caRtola | datasciencecoursera | |
|---|---|---|
| 1 | 44 | |
| 438 | 2,196 | |
| - | - | |
| 0.0 | 0.0 | |
| 5 months ago | about 1 year ago | |
| HTML | HTML | |
| 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.
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.
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.
caRtola
Posts with mentions or reviews of caRtola.
We have used some of these posts to build our list of alternatives
and similar projects.
datasciencecoursera
Posts with mentions or reviews of datasciencecoursera.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing caRtola and datasciencecoursera you can also consider the following projects:
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.
random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.
vembedr - Functions to Embed Video in HTML
data-science-interviews - Data science interview questions and answers