pyuplift
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Lightweight uplift modeling framework for Python
Exploratory data analysis of the [Lalonde NSW](https://pyuplift.readthedocs.io/en/latest/datasets/load_lalonde_nsw.html) dataset
Exploratory data analysis of the [Hillstrom Email Marketing](https://pyuplift.readthedocs.io/en/latest/datasets/load_hillstrom_email_marketing.html) dataset
Exploratory data analysis of the [Criteo Uplift Prediction](https://pyuplift.readthedocs.io/en/latest/datasets/load_criteo_uplift_prediction.html) dataset
Make the "building Qini curve" tutorial and append to the _tutorials_ folder.
Use LATEX in the following files: * datasets/make_linear_regression.rst
Required optimize `get_average_effect` function by sorting effects without using pandas DataFrame.