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GitHub / nitinjosephrepo / Marketing-Mix-Modeling-MMM-Using-Robyn

A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreover, the budget allocator & calibration enable actionability and causality of the results

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitinjosephrepo%2FMarketing-Mix-Modeling-MMM-Using-Robyn

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: R
Size: 267 KB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 2 years ago
Last synced at: about 1 year ago

Topics: adstocking, facebook-prophet, marketing-mix-modeling, marketing-science, mmm, nevergrad

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