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Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

Home Page: https://facebookexperimental.github.io/Robyn/

License: MIT License

R 96.17% Dockerfile 0.04% JavaScript 3.26% CSS 0.54%

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amogh-nalwaya avatar anislebik avatar dependabot[bot] avatar gufengzhou avatar kylescotshank avatar laresbernardo avatar leonelsentana avatar watanta avatar yangshun avatar

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