jeremite / channel-attribution-modelLinks
An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of events leads to conversion (purchase). The trained model can also assign credits to channels. The model also incorporates user-context information, such as user demographics and behavior, as control variables to red…
☆34Updated 4 years ago
Alternatives and similar repositories for channel-attribution-model
Users that are interested in channel-attribution-model are comparing it to the libraries listed below
Sorting:
- Multi-Touch Attribution☆117Updated 3 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Data-Driven Marketing Attribution☆34Updated 4 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated 11 months ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 4 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- 😎 awesome dynamic pricing 💵☆110Updated 2 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆41Updated 5 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆62Updated 6 years ago
- ☆88Updated 2 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- Game Theory model for multichannel marketing attribution☆13Updated 5 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Python implementation of the population stability index (PSI)☆142Updated last year
- ☆289Updated 2 years ago
- Papers and Resources on running A/B Experiments☆90Updated 3 years ago
- Uplift modeling package.☆374Updated 2 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆102Updated 6 months ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆117Updated last year
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated last year
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago