Alternatives and similar repositories for mmm_pydata_global_2022:

Users that are interested in mmm_pydata_global_2022 are comparing it to the libraries listed below

• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆376Updated 2 years ago
• slavakx / medium_posts
  ☆88Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆70Updated 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…
  ☆102Updated 11 months ago
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆13Updated 2 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆46Updated 7 months 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…
  ☆199Updated 9 months ago
• hammer-mt / VEX-MMM
  Open source marketing mix modeling code for vexpower.com
  ☆44Updated 3 years ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆33Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆21Updated 9 months ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆284Updated this week
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆303Updated last year
• eeghor / mta
  Multi-Touch Attribution
  ☆116Updated 3 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆99Updated 2 years ago
• google / tfp-causalimpact
  ☆110Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆59Updated 2 years ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆78Updated 6 months ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆123Updated last year
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 years ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆66Updated last year
• google / lightweight_mmm
  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…
  ☆958Updated 3 weeks ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• iamcici0424 / Marketing-Mix-Models
  This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…
  ☆23Updated 3 years ago
• DP6 / Marketing-Attribution-Models
  Python Class created to address problems regarding Digital Marketing Attribution.
  ☆327Updated 6 months ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆18Updated 3 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.
  ☆823Updated this week
• tab114 / Marketing_Mixed_Modelling_Analysis
  Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…
  ☆39Updated 6 years ago