Pinned Repositories
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Best-Subset-Binary-Prediction
Matlab codes for the best subset binary prediction method
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
dlaicourse
Notebooks for learning deep learning
fbi
Factor-Based Imputation for Missing Data
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
inter-macro-spring-2018
This repository includes files for my TA in Intermediate Macroeconomics (Spring 2018) for Prof. Jon Steinsson.
lecture-py-notebooks
A Repository of Notebooks for the Python Lecture Site
npiv
Project with Xiaohong Chen and Tim Christensen: Nonparametric IV Estimation
prescience-r
R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).
cykbennie's Repositories
cykbennie/fbi
Factor-Based Imputation for Missing Data
cykbennie/prescience-r
R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).
cykbennie/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
cykbennie/Best-Subset-Binary-Prediction
Matlab codes for the best subset binary prediction method
cykbennie/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
cykbennie/dlaicourse
Notebooks for learning deep learning
cykbennie/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
cykbennie/inter-macro-spring-2018
This repository includes files for my TA in Intermediate Macroeconomics (Spring 2018) for Prof. Jon Steinsson.
cykbennie/lecture-py-notebooks
A Repository of Notebooks for the Python Lecture Site
cykbennie/npiv
Project with Xiaohong Chen and Tim Christensen: Nonparametric IV Estimation
cykbennie/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
cykbennie/SocialDistancing