Alternatives and similar repositories for mmm

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

• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆64Updated 4 years ago
• ewharton / ab-testing-resources
  ☆91Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 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…
  ☆235Updated this week
• einatboro / awesome-survival-analysis
  Resources for Survival Analysis
  ☆97Updated 7 months ago
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• fonnesbeck / bayes_pydata_london_2024
  Probabilistic Programming and Bayesian Computing with PyMC
  ☆23Updated last year
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆74Updated 2 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆115Updated last month
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆105Updated 3 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• google / GeoexperimentsResearch
  An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …
  ☆141Updated 6 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆311Updated 6 months ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆38Updated 8 years ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆56Updated last month
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated last year
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆294Updated last year
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆365Updated 2 years ago
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆88Updated last month
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆14Updated 4 months ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆398Updated 3 years ago
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆47Updated this week
• google / tfp-causalimpact
  ☆140Updated 3 weeks ago
• ostojanovic / causalML
  ☆34Updated last year
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆19Updated 3 years ago
• LSTP-stat / StatResourcesHub
  StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…
  ☆58Updated last year
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆45Updated 4 years ago
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆29Updated 10 months ago
• klarsen1 / MarketMatching
  ☆136Updated last year