SQL-for-Data-Analytics
Perform fast and efficient data analysis with the power of SQL (by TrainingByPackt)
Basketball_Analytics
Repository which contains various scripts and work with various basketball statistics (by danchyy)
SQL-for-Data-Analytics | Basketball_Analytics | |
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1 | 1 | |
252 | 145 | |
0.0% | - | |
0.0 | 4.1 | |
about 1 year ago | 4 months ago | |
Jupyter Notebook | 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.
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.
SQL-for-Data-Analytics
Posts with mentions or reviews of SQL-for-Data-Analytics.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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.
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.
-
Selfpromotion Thread Refresh Youre Free To
Also, I post most, if not all code on my github, so if there are any coders feel free to take a look! :)
What are some alternatives?
When comparing SQL-for-Data-Analytics and Basketball_Analytics 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.
sportsipy - A free sports API written for python
nba_api - An API Client package to access the APIs for NBA.com
kepler.gl - Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.
openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.