Our project is focused on NBA player data and predicting what position a player is based off of different statistical attributes about their season
We used employed Darwin's unsupervided and supervised classification methods
all database data pulled from Basketball Refrence
Darwin unserpervised.ipynb
This is the jupter notebook file that contains code for our unsupervised Darwin model
Darwin_nb.ipynb
This is the jupter notebook file that contains code for our supervised Darwin model
We only used data from the 17-18 and 16-17 seasons in our project
16_17_Season_Stats_Per_100_Possessions_SPP.csv
This is a list of all single-position players and their stats for the 16/17 NBA season
17_18_Season_Stats_Per_100_Possessions_SPP.csv
This is a list of all single-position players and their stats for the 17/18 NBA season
16_17_Season_Stats_Per_100_Possessions_SPP_limit_500.csv
This is a list of all top 500 single-position players (based on games started) and their stats for the 16/17 NBA season
(Only used for unsupervised)