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acmq

Analyse Causale et Méthodes Quantitatives

ada-2017-welfare

Applied Data Analytics training program focused on return to social benefit programs

artificial-intelligence-terminology-database

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

best-subset

Comparisons between best subset selection and other popular estimators for sparse regression

bookcorpus

Crawl BookCorpus

bookdown

Authoring Books and Technical Documents with R Markdown

capo4sim

CaPO4Sim, the virtual physiology simulator

cashmere

First Chapter of Ph.D. research on the impact of Cashmere School Zone Downsizings on Housing Prices

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

database_in_r

datasciencespecializationcourses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

did

Difference in Differences with Multiple Periods and Variation in Treatment Timing

dodgr

Distances on Directed Graphs in R

dplyr

dplyr: A grammar of data manipulation

drdid

Doubly Robust Difference-in-Differences Estimators

dse2022mit

Teaching materials for the DSE 2022 summer school at MIT on Market Design

econgeo

First R package to propose user-friendly functions to compute a series of indices commonly used in Economic Geography.

econml

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.

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

fixest

Fixed-effects estimations

geocode

create map for data with coordinates (latitude and longtitude) and data with boundary polygons

geopandas

Python tools for geographic data

geopy

Geocoding library for Python.

getting-started-with-open-source

Getting Started with Open Source

git-intro

uva library workshop on introduction to git and github

idi

Statistics New Zealand Integrated Data Infrastructure

idi-definitions_library-from-swa

Definitions from SWA's projects suitable for use with the dataset assembly tool.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning