Garve / mamimo

Related projects ⓘ

Alternatives and complementary repositories for mamimo

• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆57Updated 2 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆24Updated 2 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 6 months ago
• slavakx / medium_posts
  ☆83Updated last year
• station-10 / awesome-marketing-machine-learning
  A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…
  ☆89Updated 6 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆60Updated last year
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆353Updated 2 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆109Updated 2 years ago
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆183Updated 4 months ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated last year
• edwinnglabs / karpiu
  Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please us…
  ☆17Updated 5 months ago
• google / matched_markets
  Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
  ☆73Updated 11 months ago
• google / tfp-causalimpact
  ☆86Updated 11 months ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆29Updated 4 years ago
• takechanman1228 / mmm_pydata_global_2022
  ☆24Updated last year
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆44Updated 2 years ago
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆708Updated this week
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆73Updated last month
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆56Updated 2 years ago
• olivierzach / bayesian-marketing-attribution
  Marketing attribution using Bayesian credible sets and regression methods
  ☆15Updated 4 years ago
• hammer-mt / VEX-MMM
  Open source marketing mix modeling code for vexpower.com
  ☆44Updated 3 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆277Updated 6 months ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆29Updated 3 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆617Updated last month
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆311Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆36Updated 2 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆341Updated last year
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆13Updated 2 years ago