Multiple Treatments Uplift Models for Binary Outcome Using Python CausalML | Machine Learning
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Multiple Treatments Uplift Models for Binary Outcome Using Python CausalML | Machine Learning
Multiple treatments sometimes are compared with a control group and with each other in an experiment. The experiment outcome can be continuous results such as sales or binary results such as a response to a promotion. In this tutorial, we will talk about how to use the python package `causalML` to build meta-learner uplift models for an ...
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