Alternatives and similar repositories for Multi-Touch-Attribution_ShapleyValue

Users that are interested in Multi-Touch-Attribution_ShapleyValue are comparing it to the libraries listed below

• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆35Updated 5 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆40Updated 5 years ago
• slavakx / medium_posts
  ☆92Updated 2 years ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆34Updated 4 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆357Updated last year
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆166Updated 2 years ago
• DallasBuyer / awesome-dynamic-pricing
  😎 awesome dynamic pricing 💵
  ☆119Updated 3 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• jingtt / varclushi
  A Python package for variable clustering
  ☆51Updated 4 years ago
• takechanman1228 / mmm_pydata_global_2022
  ☆28Updated 2 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆60Updated 4 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆431Updated 5 months ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆394Updated 3 years ago
• konosp / propensity-score-matching
  ☆105Updated 4 years ago
• JackHCC / Awesome-Uplift-Model
  🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
  ☆149Updated 2 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆648Updated 2 years ago
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆243Updated 2 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆118Updated last month
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆285Updated 8 months ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆53Updated last year
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 7 months ago
• GoudetOlivier / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆18Updated 6 years ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆106Updated 10 months ago
• benmiroglio / pymatch
  ☆290Updated 2 years ago
• google / lifetime_value
  ☆367Updated last year
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago