Create a new case study for pywhy, causaltune, Targeting variants for maximum impact

_case_studies/11_targeting_variants_for_maximum_impact.md

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+---
+title: Targeting variants for maximum impact using the CausalTune library
+layout: page
+description: >-
+  This tutorial provides an introduction to causal AI using the CausalTune library in Python. It shows a practical example and the use of the ERUPT metric.
+summary: >-
+  This tutorial provides an introduction to causal AI using the CausalTune library in Python. It shows a practical example and the use of the ERUPT metric. It also shows how to use ERUPT to evaluate previous experiments, as well as how to evaluate the potential effect of a future experiment with different assignments using a real business example. 
+image: assets/causaltune-targeting.png
+image-alt: Targeting variants for maximum impact
+link: https://towardsdatascience.com/targeting-variants-for-maximum-impact-bdf26213d7bc
+---