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Advanced causal inference and research design course
Technical documents on a variety of topics, created for the purpose of learning
Materials for the mini-course on deep learning and macro-finance.
Data, Code and other material for CodeChella concert
Keeping track of what is going on with the latest DiD innovations.
Lecture notes for EC 607
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
Example STATA codes for teaching
Calculate U.S. equity (portfolio) characteristics
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Empirical Data and Some Simulation Codes
A set of lecture notes from my PhD classes at Boston College
Loan Default Prediction Machine Learning Project
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Code for the Book Causal Inference in Python
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Data and Program files for Causal Inference: The Mixtape
Code for the Spring 2022 heterogeneous-agent macro workshop
Code for the Spring 2023 NBER heterogeneous-agent macro workshop
This is the repository for the slides used in the Seattle University Econometrics course
Github Page for Princeton ECO529: Macro, Money and International Finance
Problem sets for economics and finance PhD coursework at UW-Madison.
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
Algorithmic Trading using Sentiment Analysis on News Articles
Homework assignments to go along with The Effect
Slides for the Seattle University Causal Inference Class
Causal inference GitHub for UT Austin
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.