slavakx / bayesian_mmm
Code for the article Modeling Marketing Mix using PyMC3
☆27Updated 3 years ago
Alternatives and similar repositories for bayesian_mmm:
Users that are interested in bayesian_mmm are comparing it to the libraries listed below
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- ☆88Updated last year
- A package to compute a marketing mix model.☆70Updated last year
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆78Updated 7 months ago
- A proof-of-concept for implementing multi-touch attribution using Markov Chains☆12Updated 6 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆17Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆46Updated 7 months ago
- Multi-Touch Attribution☆116Updated 3 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆23Updated 3 years ago
- ☆21Updated 9 months ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆103Updated last year
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- ☆27Updated 2 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆39Updated 6 years ago
- Marketing attribution using Bayesian credible sets and regression methods☆15Updated 4 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆116Updated 11 months ago
- Marketing Mix Modeling Data Generator☆45Updated 3 years ago
- Experimental Open-Source Auto Marketing Mix Modelling tool & feature selection☆26Updated last year
- ☆21Updated last year
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- ☆34Updated 3 months ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆377Updated 2 years ago