ikatsov / tensor-houseLinks
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
☆1,383Updated last year
Alternatives and similar repositories for tensor-house
Users that are interested in tensor-house 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☆394Updated 3 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆233Updated 7 years ago
- Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visual…☆870Updated last month
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 11 months ago
- ☆92Updated 2 years ago
- uplift modeling in scikit-learn style in python☆792Updated 2 years 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☆328Updated 2 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,016Updated 6 months ago
- Lifetime value in Python☆1,470Updated 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…☆158Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆171Updated last year
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆125Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆85Updated last year
- 😎 awesome dynamic pricing 💵☆119Updated 3 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆507Updated 2 weeks ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆504Updated 2 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆650Updated 2 years ago
- Notes and Python scripts for A/B or Split Testing☆144Updated 3 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Updated 4 years ago
- Multi-Touch Attribution☆121Updated last month
- A library of metrics for evaluating recommender systems☆581Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,009Updated last week
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆253Updated 5 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆33Updated 5 years ago
- Code from the book Fighting Churn With Data☆308Updated 5 months ago
- 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
- Hands-On Data Science for Marketing, published by Packt☆253Updated 7 months ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆26Updated 4 years ago