Pinned Repositories
Recommender-Systems-Specialization
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.
info490-fa16
INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois
px_genetic_variation
analyze genetic variation of Podospheara xanthin isolates collected from worldwide
stock_price
Stock price from Quandl
WAfishing
Collect information for recreational fishing in WA State
xiangyiwen22's Repositories
xiangyiwen22/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.
xiangyiwen22/stock_price
Stock price from Quandl
xiangyiwen22/Recommender-Systems-Specialization
xiangyiwen22/WAfishing
Collect information for recreational fishing in WA State
xiangyiwen22/px_genetic_variation
analyze genetic variation of Podospheara xanthin isolates collected from worldwide
xiangyiwen22/info490-fa16
INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois