mboldin
Economist with Programming and Statistical modelling expertise University Professor (Finance, Economics, Statistics, CS-Python)
Lehigh UniversityPhiladelphia PA area
mboldin's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
instructure/canvas-lms
The open LMS by Instructure, Inc.
tommyod/KDEpy
Kernel Density Estimation in Python
paulknysh/blackbox
A Python module for parallel optimization of expensive black-box functions
jamesjonesmath/canvancement
Enhancements to the Canvas LMS
jasonbaldridge/try-tf
Simple code for trying out TensorFlow with simulated datasets
SISDevelop/SwarmPackagePy
Library of swarm optimization algorithms.
CODAIT/covid-notebooks
Jupyter notebooks that analyze COVID-19 time series data
amspector100/knockpy
Knockoffs for controlled variable selection
Mujadded/knn-with-tensorflow
This is a implementation of k nearest neighbors with tensorflow
mboldin/DataPhillyAug2020
Material supporting my talk on August 19 2020