gprinciotti
master's student in public administration and government @fgv_eaesp | interested in economics of educ and development economics
São Paulo, Brazil
gprinciotti's Stars
rstacruz/cheatsheets
Cheatsheets for web development - devhints.io
axa-group/Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
py-why/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.
paulgp/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
BlakeRMills/MetBrewer
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
firmai/data-science-career
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
ipeaGIT/geobr
Easy access to official spatial data sets of Brazil in R and Python
turicas/covid19-br
Dados diários mais recentes do coronavírus por município brasileiro
chrisconlon/applied_metrics
A PhD course in Applied Econometrics and Panel Data
kosukeimai/fastLink
R package fastLink: Fast Probabilistic Record Linkage
mulheresemdados/cientistadedados
Trilha de Estudos para Cientista de Dados
rvalavi/blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
urban-labs/namematch
Tool for probabilistically linking the records of individual entities (e.g. people) within and across datasets
tidypyverse/tidypandas
A grammar of data manipulation for pandas inspired by tidyverse
Mixtape-Sessions/Causal-Inference
Causal Inference Mixtape Sessions
Mixtape-Sessions/Doing-Applied-Research
Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
datazoompuc/datazoom.amazonia
Simplify access to data from the Brazilian Amazon
kghobbs/job-market-materials
Mixtape-Sessions/Difference-in-Differences
Difference-in-Differences
worldbank/iefieldkit
Stata commands designed for Impact Evaluations field work. These are tools that are used during/after a survey in the field for data quality monitoring.
azev77/Compare-DiD-Estimators
tyleransom/DScourseS24
Materials for Econ 5253 Data Science for Economists course at U of Oklahoma
gabriel-milan/geolocate
Georeferencing large amounts of data for free.
ondevirarvoto/ondevirarvoto.github.io
onde virar voto
kylebutts/Difference-in-Differences-Ring-Method
abjur/brcities
Download city indicators from IBGE and Seade
mateuspicanco/project-atlas-sao-paulo
A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.
cewebbr/violentometro
Análise do uso das redes sociais nas eleições e da presença de violência
mavalentim/portaaberta
Shiny para marcar encontro com gente com mais experiencia nas areas