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100 Days of ML Coding
Advanced Differnce-in-Differences Mixtape Track
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
Stata、计量经济学、DSGE
Causal Inference Mixtape Sessions
Must-read papers and resources related to causal inference and machine (deep) learning
Replication code and downloadable example data sets for The Effect
Packages of Example Data for The Effect
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
Slides for the Seattle University Causal Inference Class
Working repository for Causal Tree and extensions
Difference in Differences with Multiple Periods and Variation in Treatment Timing
Event studies: robust and efficient estimation, testing, and plotting
Difference-in-Differences
Course materials for Ec142 (Applied Econometrics & Public Policy) at UC - Berkeley
Course materials for Ec240a "Econometrics" at UC Berkeley.
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 20202. Taught by Ed Rubin
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam
A Swirl course for introductory econometrics
This is the repository for the slides used in the Seattle University Econometrics course
Instrumental Variables Mixtape Track
Lecture notes for EC 607
Repository for the crash course on "Machine learning for education policies"
Repository for the crash course on "Machine learning in social sciences"
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Mathematics for Economists (Matlab Live Codes)
This is a 2nd Year PhD Course In Micro-econometrics
Data and Program files for Causal Inference: The Mixtape
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.