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Name: Nazanin Khazra
Type: User
Name: Nazanin Khazra
Type: User
Repo for Yale Applied Empirical Methods PHD Course
R version of the Stata command bcstats for conducting back checks on survey data
Repository with code and slides for a tutorial on causal inference.
Tools for causal analysis
This repository consolidates my teaching material for "Causal Machine Learning".
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Materials for Econ 5253 Data Science for Economists course at U of Oklahoma
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.
Lecture notes for EC 607
khazra.github.io
Notebooks for Applied Causal Inference Powered by ML and AI
Material for the DSI-CARTE Machine Learning Bootcamp 2022
ABE Method For Historical Record Linking
The Python library for names.
https://opencatalystproject.org/
PhD Applied Econometrics class taught at UC Berkeley
Python Data Science Handbook: full text in Jupyter Notebooks
Sample code for conducting power calculations using in-built commands and simulations
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Uplift modeling and causal inference with machine learning algorithms
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Tools to help aggregate American Community Survey data to non-Census geographies
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.