Pinned Repositories
Causalinference
Causal Inference in Python
Curs_CausalDS_oct21
Materials for Causal Data Science workshop, Barcelona, Oct 2021
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.
PyDay2021_BCN
Materials for causal data science workshop at PyDay2021 Barcelona
santboia's Repositories
santboia/Curs_CausalDS_oct21
Materials for Causal Data Science workshop, Barcelona, Oct 2021
santboia/PyDay2021_BCN
Materials for causal data science workshop at PyDay2021 Barcelona
santboia/Causalinference
Causal Inference in Python
santboia/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.