# py-why/EconML

<https://repo.masters-masters.com/repos/py-why/EconML>

[Accueil](https://repo.masters-masters.com/) › [py-why](https://repo.masters-masters.com/owners/py-why) › [EconML](https://repo.masters-masters.com/repos/py-why/EconML)

py-why/EconML, dépôt open source à 4 837 étoiles sur GitHub. Carte RC de RepoMasters. ALICE (Automated Learning and Intelligence for Causation and Economics)…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [py-why](https://repo.masters-masters.com/owners/py-why) |
| Étoiles | 4 837 |
| Forks | 834 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2018 |
| Sujets | machine-learning, economics, causal-inference, causality, econometrics, treatment-effects |
| Rang | [RC (2 000 à 4 999 ★)](https://repo.masters-masters.com/ranks/blockbuster) |
| Voir sur GitHub | [py-why/EconML](https://github.com/py-why/EconML) |

## Fiche du dépôt

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…

Rang des dépôts qui ont 2 000 à 4 999 ★ sur GitHub. Probabilité publiée par carte tirée : 3 %. Rareté : Épique.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.