slavakx / medium_postsLinks
☆90Updated 2 years ago
Alternatives and similar repositories for medium_posts
Users that are interested in medium_posts are comparing it to the libraries listed below
Sorting:
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆390Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 3 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆981Updated this week
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆123Updated last year
- A package to compute a marketing mix model.☆72Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆657Updated 10 months ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated last year
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,009Updated 4 months ago
- Multi-Touch Attribution☆117Updated 3 years ago
- ☆28Updated 2 years ago
- Code for the Book Causal Inference in Python☆350Updated last year
- ☆130Updated last week
- UpliftML: A Python Package for Scalable Uplift Modeling☆328Updated 2 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Updated 4 years ago
- Code and notebooks for my Medium blog posts☆129Updated last year
- A simple Marketing Mix Modeling library for Python☆28Updated 3 years ago
- Data-Driven Marketing Attribution☆35Updated 5 years ago
- A Marketing Mix Modelling project for an E-Commerce company☆14Updated last month
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆154Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆52Updated last year
- 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
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆94Updated 2 months ago
- AutoML for causal inference.☆231Updated 10 months ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆222Updated 2 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆69Updated 2 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆340Updated 2 months ago
- Open source marketing mix modeling code for vexpower.com☆45Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago