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  1. mmm mmm Public

    Marketing Mix Modeling (MMM) workbench

    Python 7 3

  2. lightweight_mmm lightweight_mmm Public

    Forked from google/lightweight_mmm

    LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

    Python

  3. Robyn Robyn Public

    Forked from facebookexperimental/Robyn

    Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

    Jupyter Notebook

  4. GeoLift GeoLift Public

    Forked from facebookincubator/GeoLift

    GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.

    R

  5. CausalImpact CausalImpact Public

    Forked from google/CausalImpact

    An R package for causal inference in time series

    R

  6. meridian meridian Public

    Forked from google/meridian

    Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

    Python

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