Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.
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Updated
May 9, 2020 - Jupyter Notebook
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nba-playoffs
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Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models
nba
r
rstudio
logistic-regression
gee
random-effects
likelihood-ratio-test
intraclass-correlation
cluster-modeling
generalized-estimating-equations
random-effects-model
pupulation-averaged-model
nba-playoffs
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Updated
Dec 17, 2018 - R
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