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AM216

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Code for Am 216 project

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Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
playPred		playPred
.DS_Store		.DS_Store
0021600320.jpg		0021600320.jpg
03game.py		03game.py
07game.py		07game.py
10game.py		10game.py
12game.py		12game.py
13game.py		13game.py
14eff.py		14eff.py
14game.py		14game.py
15eff.py		15eff.py
15game.py		15game.py
16eff.py		16eff.py
17game.py		17game.py
BBdata.ipynb		BBdata.ipynb
Miro's notebook.ipynb		Miro's notebook.ipynb
README.md		README.md
clean.py		clean.py
imConvert.py		imConvert.py
incepTrain.py		incepTrain.py
move.py		move.py
neural.py		neural.py
oneTeamGame.py		oneTeamGame.py
project.ipynb		project.ipynb
runXGboost.py		runXGboost.py

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AM216

Repo for our AM216 project Machine Learning as applied to sports

Some checkpoints: Can differentiate between an 03 and 2016 NBA game based on location of shots of both teams with 97% accuracy (50000 iters)

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Code for Am 216 project

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