| title | slug | layout | description | summary | image | image-alt | link |
|---|---|---|---|---|---|---|---|
EconML | Automated Learning and Intelligence for Causation and Economics |
introduction-to-econml |
page |
An introduction to EconML, a project under Microsoft ALICE team effort to direct Artificial Intelligence towards economic decision making. |
EconML is a Python package that applies the power of machine learning techniques to estimate individualized causal responses from observational or experimental data. The suite of estimation methods provided in EconML represents the latest advances in causal machine learning. By incorporating individual machine learning steps into interpretable causal models, these methods improve the reliability of what-if predictions and make causal analysis quicker and easier for a broad set of users.
<br> <br> <a href="https://econml.azurewebsites.net/">EconML Documentation</a> <br> <a href="https://github.com/py-why/EconML">EconML GitHub Repository</a> |
assets/econml-logo.png |
EconML | Automated Learning and Intelligence for Causation and Economics |