yupeng80 Goto Github PK

course-site

Course site for Computing for the Social Sciences (MACS-30500)

datascience-box

Data Science Course in a Box

dscourses21

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)

ec421s19

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin

ec421w19

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin

ec607s20

Causally oriented doctoral econometrics course at UO, taught by Ed Rubin

islr-tidymodels-labs

lectures

Lecture material for Big Data in Economics (EC 410/510)

machine-learning

Machine Learning and Causal Inference taught by Brigham Frandsen

machine-learning-in-r

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine-learning-with-tidymodels

This is a remix of the Machine-Learning-in-R workshop. This version of the workshop focuses on the tidymodels framework and its applications.

r4econ

Shared resources for Econ Research Assistants working in R

resecon703

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

tidymodels-virtually

understandingdeeplearning-zh-cn

UnderstandingDeepLearing中文翻译

user2020-causal-inference

workshops

Website and materials for tidymodels workshops