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Causal Inference handbook｜学习因果推断的轻松指南
difference-in-differences in Python
A Python package for causal inference using Synthetic Controls
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Leverage timestamp information to improve Random Forest out of distribution generalization.
fklearn: Functional Machine Learning
Synthetic difference in differences for Python
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
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
This repository hosts the code behind the online book, Coding for Economists.
Replication code and downloadable example data sets for The Effect
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
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 go…
Chuỗi bài viết về Suy luận Nhân quả với Python và ứng dụng của chúng trong nghiên cứu các vấn đề kinh tế, xã hội, chính sách và quyết định kinh doanh.
Some experiments into explaining complex black box ensemble predictions.
📊 Path to a free self-taught education in Data Science!