Austin Rochford AustinRochford

## pydata-nyc-2017-nba-fouls-python.ipynb

      
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                AustinRochford
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              December 22, 2017 16:22
            
              
                PyData NYC 2017 Understanding NBA Foul Calls with Python
              
          
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## blog_traffic_prophet.ipynb

      
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              January 1, 2018 23:02
            
              
                Blog Traffic Prophet Analysis
              
          
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## nba_irt.ipynb

      
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              February 4, 2018 17:49
            
              
                An Improved Analysis of NBA Foul Calls with Python
              
          
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## quantifying_reading.ipynb

      
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              March 16, 2018 11:39
            
              
                Quantifying Three Years of Reading
              
          
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## GMM Comp Params.ipynb

      
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              July 30, 2017 15:00
            
              
                Generalized Mixture Model Component Parameters
              
          
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## dict_to_xarray.ipynb

      
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              Created
              July 17, 2018 00:34
            
              
                Dict to xarray converter
              
          
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## arviz_probprog.ipynb

      
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              October 4, 2018 15:11
            
              
                ArviZ PROBPROG Examples
              
          
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## monotonic_predictors.ipynb

      
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              November 10, 2018 00:59
            
              
                Monotonic Effects in PyMC3
              
          
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## 2017_2018_goalies.csv
Rk,Player,Age,Tm,GP,GS,W,L,T/O,GA,SA,SV,SV%,GAA,SO,GPS,MIN,QS,QS%,RBS,GA%-,GSAA,G,A,PTS,PIM
1,Jake Allen\allenja01,27,STL,59,56,27,25,3,152,1614,1462,.906,2.75,1,7.9,3317,27,.482,8,107,-10.34,0,1,1,0
2,Frederik Andersen\anderfr01,28,TOR,66,66,38,21,5,182,2211,2029,.918,2.81,5,13.6,3889,37,.561,8,94,12.06,0,1,1,2
3,Craig Anderson\andercr01,36,OTT,58,55,23,25,6,180,1768,1588,.898,3.32,2,7.2,3251,25,.455,11,116,-24.83,0,0,0,2
4,Ken Appleby\appleke01,22,NJD,3,1,0,1,0,3,55,52,.945,1.45,0,0.5,124,0,.000,0,,,0,0,0,0
5,Jonathan Bernier\bernijo01,29,COL,37,34,19,13,3,95,1092,997,.913,2.85,2,6.2,2001,18,.529,5,99,0.84,0,1,1,0
6,Reto Berra\berrare01,31,ANA,5,1,1,1,0,7,95,88,.926,2.31,0,0.7,182,1,1.000,0,,,0,0,0,0
7,Jean-Francois Berube\berubje02,26,CHI,13,10,3,6,1,42,398,356,.894,3.78,0,1.4,667,3,.300,3,120,-7.07,0,0,0,0
8,Ben Bishop\bishobe01,31,DAL,53,51,26,17,5,120,1437,1317,.916,2.49,5,8.7,2887,27,.529,8,95,6.12,0,1,1,4
9,Sergei Bobrovsky\bobrose01,29,CBJ,65,65,37,22,6,158,1993,1835,.921,2.42,5,12.9,3912,38,.585,10,

## ridge_augment_data.ipynb

      
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              Created
              January 4, 2019 21:46
            
              
                Ridge Regression as Data Augmentation
              
          
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	Rk,Player,Age,Tm,GP,GS,W,L,T/O,GA,SA,SV,SV%,GAA,SO,GPS,MIN,QS,QS%,RBS,GA%-,GSAA,G,A,PTS,PIM
	1,Jake Allen\allenja01,27,STL,59,56,27,25,3,152,1614,1462,.906,2.75,1,7.9,3317,27,.482,8,107,-10.34,0,1,1,0
	2,Frederik Andersen\anderfr01,28,TOR,66,66,38,21,5,182,2211,2029,.918,2.81,5,13.6,3889,37,.561,8,94,12.06,0,1,1,2
	3,Craig Anderson\andercr01,36,OTT,58,55,23,25,6,180,1768,1588,.898,3.32,2,7.2,3251,25,.455,11,116,-24.83,0,0,0,2
	4,Ken Appleby\appleke01,22,NJD,3,1,0,1,0,3,55,52,.945,1.45,0,0.5,124,0,.000,0,,,0,0,0,0
	5,Jonathan Bernier\bernijo01,29,COL,37,34,19,13,3,95,1092,997,.913,2.85,2,6.2,2001,18,.529,5,99,0.84,0,1,1,0
	6,Reto Berra\berrare01,31,ANA,5,1,1,1,0,7,95,88,.926,2.31,0,0.7,182,1,1.000,0,,,0,0,0,0
	7,Jean-Francois Berube\berubje02,26,CHI,13,10,3,6,1,42,398,356,.894,3.78,0,1.4,667,3,.300,3,120,-7.07,0,0,0,0
	8,Ben Bishop\bishobe01,31,DAL,53,51,26,17,5,120,1437,1317,.916,2.49,5,8.7,2887,27,.529,8,95,6.12,0,1,1,4
	9,Sergei Bobrovsky\bobrose01,29,CBJ,65,65,37,22,6,158,1993,1835,.921,2.42,5,12.9,3912,38,.585,10,