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

• slavakx / medium_posts
  ☆90Updated 2 years ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆390Updated 3 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆52Updated last year
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆350Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆59Updated 3 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 3 years ago
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆14Updated last month
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆35Updated 5 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.
  ☆977Updated this week
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆72Updated 2 years ago
• google / tfp-causalimpact
  ☆128Updated last week
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆195Updated 2 years ago
• 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…
  ☆123Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆23Updated last year
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆301Updated 3 months ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆129Updated last year
• ewharton / ab-testing-resources
  ☆88Updated last year
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆127Updated 8 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…
  ☆222Updated 2 months ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆68Updated 2 years ago
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated this week
• michaellindon / ssrm
  Sequential Sample Ratio Mismatch(SRM) Test
  ☆12Updated 3 years ago
• google / lightweight_mmm
  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…
  ☆1,009Updated 4 months ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆57Updated 3 months ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆154Updated 3 weeks ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆175Updated 2 months ago