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Name: SMS
Type: User
Name: SMS
Type: User
(Advanced) Applied Econometrics
Repo for Yale Applied Empirical Methods PHD Course
Course website for Ph.D. Applied Microeconometrics at the KDI School.
Applied Econometrics 2021
PhD Applied Econometrics class taught at UC Berkeley
Materials for the rstudio::conf 2019 Advanced R Markdown workshop
Code for blog posts.
Causal Inference II Mixtape Session taught by Scott Cunningham
Causal Inference class notes
DSApps @ TAU 2020: Course Repo
Materials for Data Science in the Tidyverse, a two-day workshop @ rstudio:conf(2019)
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
Generate descriptive statistics
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
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.
Slides for A Primer in Econometric Theory
Econometrics lecture notes with examples using the Julia language
EMlab/emlab-generation is a suite of Agent-Based Models of power generation, dealing with energy and carbon policy questions. There is focus on long-term developments.
Empirical Economics with R
This repo contains script to aid in playing the SET3055 Energy Market Simulation game at TU Delft.
Quickly create elegant regression results tables and plots when modelling in R
Financial Sentiment Analysis with BERT
Time Series Forecasting Best Practices & Examples
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.