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SMS's Projects

are213 icon are213

PhD Applied Econometrics class taught at UC Berkeley

dataviz icon dataviz

Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop

ec524w20 icon ec524w20

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin

econml icon 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.

econometrics icon econometrics

Econometrics lecture notes with examples using the Julia language

emlab-generation icon emlab-generation

EMlab/emlab-generation is a suite of Agent-Based Models of power generation, dealing with energy and carbon policy questions. There is focus on long-term developments.

energymarket icon energymarket

This repo contains script to aid in playing the SET3055 Energy Market Simulation game at TU Delft.

finalfit icon finalfit

Quickly create elegant regression results tables and plots when modelling in R

finbert icon finbert

Financial Sentiment Analysis with BERT

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