Alternatives and similar repositories for rfm2lstm

Users that are interested in rfm2lstm 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
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆43Updated 4 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 10 months ago
• einatboro / awesome-survival-analysis
  Resources for Survival Analysis
  ☆96Updated last month
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 years ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆58Updated this week
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• facebookexperimental / siMMMulator
  siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…
  ☆55Updated last year
• ewharton / ab-testing-resources
  ☆83Updated last year
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆206Updated last year
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆52Updated 5 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆51Updated 11 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆44Updated 3 years ago
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• google / GeoexperimentsResearch
  An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …
  ☆140Updated 5 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆39Updated 8 years ago
• Better-Boy / Market-Mix-Modelling
  This repository contains the code and explanation for market mix modelling technique in economics
  ☆53Updated 7 years ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆85Updated last year
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆84Updated 11 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆127Updated last year
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 3 years ago
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated 9 months ago