Pinned Repositories
2024-AEA-Jiao-Yang
adv-r
Advanced R: a book
Advanced-R-Solutions
Set of solutions for the Advanced R programming book
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
ECON_5314G_Big_Data_Economics
This intermediate applied econometrics course covers the theoretical, computational, and statistical underpinnings of the big data analysis. (first taught at Virginia Tech in 2018)
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Machine-Learning-from-Theory-to-Practice
This course will introduce the student to classic machine learning algorithms and deep neural network structures. The style will be first to describe the theory and math behind algorithms and then demonstrate how to use Python to create and run the models.
man2-2023
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
rmarkdown-book
R Markdown: The Definitive Guide (to be published soon)
lewangecon's Repositories
lewangecon/smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
lewangecon/ARK-Invest-Tesla-Valuation-Model
An excerpt from our financial valuation model of Tesla
lewangecon/shiny2022
Code for the CodeHorizons workshop Building Web Apps with R Shiny
lewangecon/shinyintro
This class will teach you the basics of Shiny app programming, giving you skills that will form the basis of almost any app you want to build. By the end of the class, you will have created a custom app that collects and saves data, allows users to dynamically visualize the data, and produces downloadable reports.
lewangecon/EC-607-Computational-Economics
lewangecon/ECON3818_F2021
Kyle Butts: Introduction to Statistics with Computer Applications
lewangecon/vandy_ds_1000
Vanderbilt's Data Science 1000 Course
lewangecon/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
lewangecon/templates
Templates of all kind
lewangecon/ResEcon703
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
lewangecon/rrr_kappa_replication
Auto-Kappa IV estimation
lewangecon/template_research
Research Template
lewangecon/sdss2021_data-viz-training
lewangecon/StatProofBook.github.io
The Book of Statistical Proofs
lewangecon/evalf20.classes.andrewheiss.com
lewangecon/DSE2021_tutorials
lewangecon/C_2020_Chamberlain
lewangecon/econ5170
Econ 5170 @CUHK: Computational Methods in Economics (2017 Spring)
lewangecon/Econ5121A
Econ5121A: Econometric Theory and Applications at CUHK. This is an open-source writing project.
lewangecon/kieranhealy.hugo
The source code to http://kieranhealy.org
lewangecon/fall-2020
lewangecon/test
lewangecon/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
lewangecon/lectures-1
Lecture notes for EC 607
lewangecon/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
lewangecon/ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the tidyverse
lewangecon/bookdown
Authoring Books and Technical Documents with R Markdown
lewangecon/empirical-methods
lewangecon/cookie-cutter-research-project
An example repo for a research project
lewangecon/course-site
Course site for Computing for the Social Sciences (MACS-30500)