econml

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harveybc / causal-inference
Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.
causal-inference deep-learning forecasting machine-learning timeseries ai causal-machine-learning double-machine-learning econml event-data external-plugin heterogeneous-data lineal-regression outcome-prediction plugin-system python pywhy random-tree meta-learning
Language:Python 4
roniantoniius / Causal-Inference-Interpretation-for-Employee-Resignation
Causal analysis to predict factors affecting employee resignation using the Causal Inference method on company datasets.
causal-inference causality-analysis employees machine-learning resignation econml
Language:Jupyter Notebook 1
SuRak35 / Causal_Inference__ISI-Kolkata
Internship Project on Causal Inference (The causal effect of multi-level treatment of intervention using observational data).
causal-inference data-analysis data-science data-visualization dowhy econml googlecolab python
Language:Jupyter Notebook 1

harveybc / causal-inference