ColtAllen / marketing-case-studyLinks
case study involving pymc-marketing and causalpy
☆7Updated 2 years ago
Alternatives and similar repositories for marketing-case-study
Users that are interested in marketing-case-study are comparing it to the libraries listed below
Sorting:
- Friday Forecasting Talks materials☆11Updated last year
- Presentation materials for PyMC Statespace☆23Updated 11 months ago
- Unstructured Code with interesting analysis☆37Updated 9 months ago
- Wrapper around MLForecast for more plug and play forecasting☆10Updated last year
- Repository containing the code of the projects presented in my personal website.☆42Updated this week
- Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards☆15Updated 3 months ago
- Time series forecasting with tree ensembles☆13Updated 3 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Material for the lecture Responsible ML☆23Updated 2 months ago
- Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference☆23Updated 3 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last month
- ☆33Updated 10 months ago
- Shiny app for IFRS provisioning and estimated loss report☆9Updated 4 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Methods and tools for multistep-ahead time series conformal prediction.☆38Updated 4 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Forecasting with Hyper-Trees☆18Updated 9 months ago
- Examples of causality maps for time series driven by GitHub actions☆15Updated last year
- Nonlinear Nonparametric Statistics☆78Updated this week
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- ☆11Updated 4 years ago
- ☆14Updated 4 months ago
- A system for Bayesian estimation of state space models using PyMC☆35Updated 3 weeks ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A Library for Conformal Hyperparameter Tuning☆31Updated last week
- Code for the paper "Temporally-Consistent Survival Analysis".☆24Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆48Updated 11 months ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Updated 8 years ago
- Loose collection of Jupyter notebooks, mostly for my blog☆28Updated 8 months ago