Alternatives and similar repositories for Multi-Channel-Attribution:

Users that are interested in Multi-Channel-Attribution are comparing it to the libraries listed below

• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆36Updated 4 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆52Updated 3 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 6 months ago
• cran / ChannelAttribution
   This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Ho…
  ☆24Updated last year
• Densur / PyWoE
  ☆59Updated 5 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 5 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆74Updated last year
• mstephenmsmith / predictive_LTV_analysis
  Supervised Prediction of High Value Retail E-Commerce Customers Using Survival and LTV Analyses
  ☆30Updated 10 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• patrick201 / information_value
  ☆101Updated 8 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• rtheman / CLV
  Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)
  ☆49Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 6 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 5 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆237Updated 4 years ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated 10 months ago
• Ozzerov / CLV-models
  Pareto/NBD, BG/NBD
  ☆12Updated 9 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated last year
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 6 years ago
• owenzhang / kaggle_AMS_2013_14_solar
  kaggle-AMS 2013-14 Solar Energy
  ☆23Updated 11 years ago
• davidthaler / Walmart_competition_code
  This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
  ☆135Updated 7 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆40Updated 3 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆371Updated 2 years ago
• klarsen1 / MarketMatching
  ☆132Updated 11 months ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago