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causalml

Comprehensive Python Package for Uplift Modeling and Causal Analysis

Product DescriptionCausal ML is a reliable Python library for uplift modeling and causal inference with machine learning techniques. It estimates Conditional Average Treatment Effect (CATE) or Individual Treatment Effect (ITE) from diverse data sources, revealing the causal effects of interventions. Ideal for optimizing advertising campaigns and tailoring customer interaction strategies, this package facilitates detailed causal analysis with minimal model assumptions.
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