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Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal Inference II Mixtape Session taught by Scott Cunningham
RStudio Cheat Sheets
Data, Code and other material for CodeChella concert
My Coursera's Notes
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
The lecture slides for Coursera's Data Analysis class
Data Science class
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
The Leek group guide to data sharing
Demo for Github intro video
Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
Plotting Assignment 1 for Exploratory Data Analysis
First respository
Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
httr: a friendly http package for R
Instrumental Variables Mixtape Track taught by Peter Hull
Machine Learning and Causal Inference taught by Brigham Frandsen
Data and Program files for Causal Inference: The Mixtape
My fork of the ML for Causal Inference course from Stat Horizons
Practice assignment for the R programming class on Coursera
Repository for Programming Assignment 2 for R Programming on Coursera
Regression Discontinuity Mixtape Track taught by Rocio Titiunik
Shift-Share Instrument Mixtape Track taught by Peter Hull
:mortar_board: A collection of interactive courses for the swirl R package.
Synthetic-Control-and-Clustering taught by Alberto Abadie
Test repo for Data Science class
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.