Create a new case study for pywhy, causaltune, Targeting variants for maximum impact #26
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Signed-off-by: AlxdrPolyakov <[email protected]>
Signed-off-by: AlxdrPolyakov <[email protected]>
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Screenshots of changes:
Seems like it could be helpful to add a more verbose description via the "summary" attribute, for the purposes of the dedicated case studies page. Example in 10-Intro-to-Causal-AI.md |
Signed-off-by: AlxdrPolyakov <[email protected]>
Signed-off-by: AlxdrPolyakov <[email protected]>
Thank you, added description |
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Added better description |
Signed-off-by: AlxdrPolyakov <[email protected]>
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just updated link from Medium to Towards Data Science, ready to be merged |
emrekiciman
requested changes
Sep 3, 2024
…mproving_business_metrics_for_maximum_impact.md Signed-off-by: AlxdrPolyakov <[email protected]>
Signed-off-by: AlxdrPolyakov <[email protected]>
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Thanks @AlxdrPolyakov . As I read through this again, is "maximum impact" overpromising? @amit-sharma any other suggestions? |
… to 11_improving_business_metrics_for_better_impact.md Signed-off-by: AlxdrPolyakov <[email protected]>
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@emrekiciman changed to "for better impact", is that good enough? |
emrekiciman
approved these changes
Sep 4, 2024
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Hello, I am writing to you as you are one of the contributors to py-why.github.io. I am one of the developers of CausalTune, which is currently inside PyWhy. We have previously added intros to the pywhy site as well. Now we would like to add a case study to the pywhy site. This case study is about ERUPT metric and different techniques for marketing causal inference. Added case study md file and png file, thank you!