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Public subset of my basketball github
This project forked from mationai/basketball-public
Public subset of my basketball github
The shell script "demo.sh" loads scraped data alias tables between the two data sets (NCAA and Basketball Reference) for schools and players. It then runs sample R code that does a simple stepwise regression to detect some NCAA features that impact NBA playing time 1 year out from the draft. You won't be able to run these without installing PostgreSQL, R etc., but I've included two text files showing the results. The first is "shell_output.txt" which shows the output of the "demo.sh" script (including the total time take - about 12 seconds). The file "feature_selection.txt" shows the results of the stepwise regression. This is the final model - no surprise, the pick number dominates in a non-linear way. Also settled on were height, position, games, assists per game and steals per game. I did not examine any interaction terms, nor did I look at other measures of NBA value, but these are straightforward given the database (up to the limitations of my scraped data, of course). I haven't adjusted college performance for NCAA strength of schedule yet.
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