jrkinley-zz / game-theory-attributionLinks
Game Theory model for multichannel marketing attribution
☆13Updated 5 years ago
Alternatives and similar repositories for game-theory-attribution
Users that are interested in game-theory-attribution are comparing it to the libraries listed below
Sorting:
- 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
- Data-Driven Marketing Attribution☆34Updated 4 years ago
- Multi-Touch Attribution☆117Updated 3 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated 11 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated last year
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- ☆88Updated 2 years ago
- Code from the book Fighting Churn With Data☆294Updated 3 weeks ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- ☆34Updated 6 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Python Class created to address problems regarding Digital Marketing Attribution.☆335Updated 10 months ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆93Updated 3 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- 😎 awesome dynamic pricing 💵☆110Updated 2 years ago
- Uplift modeling package.☆374Updated 2 years ago
- customer lifetime value BG/NBD model☆17Updated 3 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆117Updated last year
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆415Updated last year
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆49Updated 5 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆41Updated 5 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Updated 3 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated 2 years ago
- ☆357Updated last year
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆385Updated 3 years ago
- ☆289Updated 2 years ago