🛠️ Open Source contribution - uplift modeling python package

scikit-uplift

#

scikit-uplift (sklift) is an uplift modeling python package that provides fast sklearn-style models implementation, evaluation metrics and visualization tools.

The main idea is to provide easy-to-use and fast python package for uplift modeling. It delivers the model interface with the familiar scikit-learn API. One can use any popular estimator (for instance, from the Catboost library).

Uplift modeling estimates a causal effect of treatment and uses it to effectively target customers that are most likely to respond to a marketing campaign.

Read more about uplift modeling problem in the User Guide.

Project info

#

• GitHub repository: https://github.com/maks-sh/scikit-uplift
• Github examples: https://github.com/maks-sh/scikit-uplift/tree/master/notebooks
• Documentation: https://www.uplift-modeling.com/en/latest/index.html
• License: MIT

Authors

#

Maksim Shevchenko and Contributors, among whom I was fortunate to be.