PepSalehi/UberDemandPrediction
Uber Demand Prediction Washington DC
PyCon 2015
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Uber Demand Prediction Washington DC
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
Notes and exercise attempts for "An Introduction to Statistical Learning"
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.