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.
☆1,373Updated 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:
- Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visual…☆858Updated last year
- uplift modeling in scikit-learn style in python☆783Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆390Updated 3 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆969Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆655Updated 9 months ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,002Updated 4 months ago
- ☆90Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆329Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆123Updated last year
- Python Class created to address problems regarding Digital Marketing Attribution.☆340Updated 2 months ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆503Updated 2 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆230Updated 6 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated last year
- CatBoost tutorials repository☆1,077Updated last month
- 😎 awesome dynamic pricing 💵☆115Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆170Updated last year
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,356Updated last week
- Uplift modeling and causal inference with machine learning algorithms☆5,624Updated last month
- Lifetime value in Python☆1,467Updated 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…☆154Updated 2 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,361Updated 4 months ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆641Updated 2 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆496Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,010Updated 4 months ago
- A library of metrics for evaluating recommender systems☆581Updated last year
- Multi-Touch Attribution☆117Updated 3 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆32Updated 5 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆244Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year