retentioneering / retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
☆834Updated last year
Alternatives and similar repositories for retentioneering-tools
Users that are interested in retentioneering-tools are comparing it to the libraries listed below
Sorting:
- Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests☆204Updated 2 years ago
- Ambrosia is a Python library for A/B tests design, split and result measurement☆232Updated last year
- Python Class created to address problems regarding Digital Marketing Attribution.☆327Updated 7 months ago
- A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart…☆1,329Updated last year
- ☆44Updated 5 years ago
- Retentioneering tools to grow and optimize the app☆68Updated 6 years ago
- uplift modeling in scikit-learn style in python☆765Updated last year
- RecTools - library to build Recommendation Systems easier and faster than ever before☆353Updated 2 weeks ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆829Updated this week
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆79Updated 7 months ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆224Updated 5 years ago
- All code examples from article ...☆39Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆377Updated 2 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆963Updated last month
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆107Updated last year
- 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…☆144Updated 2 years ago
- Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪☆109Updated 5 years ago
- Automated modeling and machine learning framework FEDOT☆668Updated this week
- An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications☆104Updated last week
- Multi-Touch Attribution☆116Updated 3 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆14Updated 3 years ago
- Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»☆96Updated last year
- Python package for hypothesis testing. Suitable for using in A/B-testing software☆14Updated 5 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆636Updated 4 months ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆289Updated 6 months ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆273Updated 5 years ago
- Home assignments for data science positions☆631Updated last year
- Analysis of vacancies and salaries in Data Science according to ODS chat☆20Updated 2 years ago
- LAMA - automatic model creation framework☆926Updated 3 years ago