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64 public repositories
matching this topic...
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 through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Analytics & Machine Learning R Sidekick
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
A curated list of awesome marketing science resources including geo incrementality testing, media mix models, multi-touch attribution, causal inference, and more from shakostats.com . Star ⭐ the repo if it helps you, and feel free to contribute your own favorite resources
A simple Marketing Mix Modeling library for Python
PonziStory 2.0 is a clone of the Popular Tradermoni p2p script. A typical Get Help and Provide help Script like MMM with top notch functionalities. Get Secured and Updated Clone Scripts. Investment, hyip,trading and ponzi scripts etc. Scripts like Ammdefi clone scripts, Afriq Arbitrage System(AAS) clone scripts, etc. in all
🚌🚏🚅 Displays information about the upcoming departure of public transport within Germany, NRW. Module for MagicMirror
🔌 A MagicMirror² Module bitcoin ticker
MagicMirror2 module for TFL (Transport for London) Lines Status
PySiMMMulator is an open source Python marketing simulation package, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).
Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.
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
Pir and motion control for the MagicMirror
🍪 CookieCutter template for generating MagicMirror modules.
A simple MagicMirror module to display data from a Shelly-PM device
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