Federico Molina (fedemolina)

fedemolina

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Location:Uruguay

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Federico Molina's repositories

engsoccerdata

English and European soccer results 1871-2019

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Tesis-Curva-Beveridge

Proyecto de tesis maestría en economía FCEA - UDELAR

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analisisVarios

Diferentes análisis de interés/juego/clases

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applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

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applied-ml

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

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applied_metrics

A PhD course in Applied Econometrics and Panel Data

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awesome-automl-papers

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

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CausalidadEstudio

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

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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.

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ETC3550Slides

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

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FuncPublicos

Análisis de funcionarios públicos

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Grad-IO

Graduate Empirical Industrial Organization

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Latinobarometro

Compilación y análisis bases de latinobarómetro

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LatinR-2019-h2o-tutorial

H2O Machine Learning Tutorial for the 2019 LatinR Conference

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Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

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micecon

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

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micro-metrics

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

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ML-foundations

Machine Learning Foundations: Algebra, Calc, Stats & CS

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proyecto_series2022

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

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QuantEcon.py

A community based Python library for quantitative economics

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r-internals

Documentation for R's internal C API

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tao-fing

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

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tenis

limpieza y modelado partidos de tenis para seminario del deporte

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tesis_doctoral

Documento de tesis para recibir el grado de Doctor en Ciencias de la Computación.

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tsfeatures

Time series features

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tsfresh

Automatic extraction of relevant features from time series:

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useR2020-automl

useR! 2020 keynote presentation & code

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