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analisisvarios

Diferentes análisis de interés/juego/clases

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

applied_metrics

A PhD course in Applied Econometrics and Panel Data

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

boost

causalidadestudio

Material de estudio de causalidad, notas, libros, artículos, librerias, etc

cluster_series

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.

empirical_io_course

Material from my master level course "Empirical Industrial Organisation and Consumer Choice"

engsoccerdata

English and European soccer results 1871-2019

etc3550slides

Slides for a forecasting course based on "Forecasting: Principles and Practice"

fedemolina.github.io

funcpublicos

Análisis de funcionarios públicos

grad-io

Graduate Empirical Industrial Organization

latinobarometro

Compilación y análisis bases de latinobarómetro

latinr-2019-h2o-tutorial

H2O Machine Learning Tutorial for the 2019 LatinR Conference

macroeconometria

curso_macroeconometria

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

micecon

Read-only mirror of "micecon" from r-forge SVN.

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics

ml-foundations

Machine Learning Foundations: Algebra, Calc, Stats & CS

openml

proyecto_series2022

Proyecto Series Cronológicas, año 2022. Autores: Emanuelle Marsella y Maximiliano Saldaña.

quantecon.py

A community based Python library for quantitative economics

r-internals

Documentation for R's internal C API

tao-fing

Código para el curso Teoría y Algoritmos de Optimización dictado en Facultad de Ingeniería UdelaR

tarea3

tenis

limpieza y modelado partidos de tenis para seminario del deporte

tesis-curva-beveridge

Proyecto de tesis maestría en economía FCEA - UDELAR