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.
☆1,356Updated 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:
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆223Updated 6 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆385Updated 3 years ago
- uplift modeling in scikit-learn style in python☆775Updated last year
- Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visual…☆848Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆642Updated 7 months ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆414Updated last year
- ☆88Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- 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…☆149Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- 😎 awesome dynamic pricing 💵☆110Updated 2 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆83Updated 10 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆921Updated this week
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated last year
- Lifetime value in Python☆1,467Updated last year
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆31Updated 4 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆629Updated 2 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆982Updated 2 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆489Updated 2 months ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆117Updated last year
- A library of metrics for evaluating recommender systems☆580Updated last year
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated 2 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,988Updated 2 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆335Updated 10 months ago
- Python implementations of contextual bandits algorithms☆796Updated 2 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
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆616Updated 2 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆236Updated 5 years ago
- Code from the book Fighting Churn With Data☆294Updated 3 weeks ago
- ☆357Updated last year