
We've recently collaborated with Databricks to create a solution accelerator for causal machine learning in their ecosystem. Learn how to leverage tools like MLFlow to facilitate model management in the context of an end-to-end causal machine learning application, taken from data exploration and causal discovery all the way to individualized policy recommendations.

EconML’s DML estimator uses price variations in existing data, estimates individualized responses to incentives.

EconML’s DRIV estimator uses this experimental nudge to interpret experiments with imperfect compliance