(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
☆64Dec 7, 2021Updated 4 years ago
Alternatives and similar repositories for BayesianMMM
Users that are interested in BayesianMMM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the article Modeling Marketing Mix using PyMC3☆28Feb 21, 2022Updated 4 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆402May 28, 2022Updated 4 years ago
- ☆92Jun 24, 2023Updated 3 years ago
- A simple Marketing Mix Modeling library for Python☆30Aug 2, 2022Updated 3 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,049Jun 17, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A full example for causal inference on real-world retail data, for elasticity estimation☆53Jul 8, 2021Updated 4 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,477Jan 26, 2026Updated 5 months ago
- A package to compute a marketing mix model.☆75Jul 30, 2023Updated 2 years ago
- This repository contains the code and explanation for market mix modelling technique in economics☆53May 25, 2018Updated 8 years ago
- Marketing Mix Modeling Data Generator☆45Dec 27, 2021Updated 4 years ago
- ☆13Feb 18, 2025Updated last year
- ☆15Nov 6, 2019Updated 6 years ago
- Bayesian marketing-attribution analysis with channel conversion estimates and uncertainty intervals.☆15Jul 5, 2020Updated 5 years ago
- Build machine learning models with scikit-learn power tools☆11Oct 28, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Prediction of box office success using Google Trends data☆11Dec 5, 2019Updated 6 years ago
- Jump start your journey in Computer Vision on AWS☆10Oct 12, 2021Updated 4 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Apr 3, 2019Updated 7 years ago
- ☆47Jan 19, 2025Updated last year
- Machine learning and statistical test to evaluate whether a pricing test running on the site has been successful☆11Jul 17, 2017Updated 8 years ago
- Serious SQL is a Data With Danny virtual data apprenticeship program.☆22Sep 3, 2021Updated 4 years ago
- Explainable Data Science Course☆14Oct 8, 2020Updated 5 years ago
- This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of d…☆12Aug 14, 2023Updated 2 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆19Oct 6, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆19Dec 6, 2018Updated 7 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,181Updated this week
- Causal Inference Using Quasi-Experimental Methods☆21Jan 15, 2021Updated 5 years ago
- ☆13Oct 21, 2021Updated 4 years ago
- ☆85Updated this week
- Repository for medium article☆21Jan 16, 2024Updated 2 years ago
- ☆53Jun 7, 2018Updated 8 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆27Dec 6, 2021Updated 4 years ago
- Please visit https://github.com/Azure/RNNForTimeSeriesForecasting for latest version.☆18Oct 8, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Nov 11, 2019Updated 6 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆673Jan 13, 2025Updated last year
- Data and analysis scripts for understanding molecular entropies, including conformer flexibility☆13Mar 29, 2021Updated 5 years ago
- Download and create a tfreader for the audioset dataset☆17Apr 16, 2020Updated 6 years ago
- This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Ma…☆16May 30, 2018Updated 8 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Nov 24, 2019Updated 6 years ago
- ☆32Nov 29, 2021Updated 4 years ago