ikatsov / tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
☆1,285Updated 11 months ago
Alternatives and similar repositories for tensor-house:
Users that are interested in tensor-house are comparing it to the libraries listed below
- uplift modeling in scikit-learn style in python☆750Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆364Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆624Updated this week
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆211Updated 6 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆343Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆320Updated last year
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆925Updated last month
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆749Updated this week
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆409Updated 7 months ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆745Updated 4 months ago
- Lifetime value in Python☆1,457Updated 6 months ago
- ☆84Updated last year
- Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visual…☆813Updated last year
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 5 months ago
- Uplift modeling package.☆372Updated 2 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,928Updated 3 weeks ago
- Feature engineering package with sklearn like functionality☆1,972Updated this week
- Python Class created to address problems regarding Digital Marketing Attribution.☆316Updated 3 months ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆214Updated 4 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆595Updated last year
- A flexible, intuitive and fast forecasting library☆1,822Updated 7 months ago
- ☆333Updated 5 months ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated 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…☆138Updated 2 years ago
- 😎 awesome dynamic pricing 💵☆95Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,275Updated 6 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆3,931Updated this week
- A library of metrics for evaluating recommender systems☆574Updated last year