anvko

causalml

Uplift modeling and causal inference with machine learning algorithms

DMIA2018_Fall_public

DMIA_Base_2019_Spring

DMIA_Industry_2019_Spring

ds

Data science interview questions and answers

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.

econowcast

Experimental tools (R) for Big Data econometrics nowcasting and early estimates

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

mymasterspaper

prophet

Application of Facebook Prophet model (Python) for forecasting Eurostat monthly indicators

anvko/causalml

Uplift modeling and causal inference with machine learning algorithms

anvko/DMIA2018_Fall_public

anvko/DMIA_Base_2019_Spring

anvko/DMIA_Industry_2019_Spring

anvko/ds

Data science interview questions and answers

anvko/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.

anvko/econowcast

Experimental tools (R) for Big Data econometrics nowcasting and early estimates

anvko/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

anvko/mymasterspaper

anvko/prophet

Application of Facebook Prophet model (Python) for forecasting Eurostat monthly indicators

anvko/Shapley_regressions

Statistical inference on machine learning or general non-parametric models

anvko/statsmodels

Statsmodels: statistical modeling and econometrics in Python