Using publicly available data from NBA Advanced Stats' API on Steph Curry's field goal attempts over the course of his career to build a machine learning algorithm that can accurately predict whether or not Steph Curry makes or misses a shot. The independent variables include shot location, type of shot, opponent, and more.
In order to play around with my code through Docker:
- Make sure you have Docker
- In the command line, type "docker run -p 8888:8888 connorcapitolo/curry_catboost"
- Copy the URL that begins with http://127.0.0.1:8888 into your browser
- Open the .ipynb file
- Have some fun messing around!
An example of NBA.com's field goal attempts page for Steph Curry during the 2018-2019 season: https://stats.nba.com/events/?CFID=33&CFPARAMS=2018-19&ContextMeasure=FGA&PlayerID=201939&Season=2018-19&flag=3&sct=plot§ion=player