cetagostini / marketing-science-projectsLinks
Mis proyectos de marketing aplicando AI
☆11Updated 2 years ago
Alternatives and similar repositories for marketing-science-projects
Users that are interested in marketing-science-projects are comparing it to the libraries listed below
Sorting:
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Validation for forecasts☆18Updated 2 years ago
- Hello world univariate examples for a variety of time series packages.☆55Updated 10 months ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last month
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- TSForecasting: Automated Time Series Forecasting Framework☆28Updated 8 months ago
- Repository containing the code of the projects presented in my personal website.☆42Updated last week
- Various utilities for time series forecasting☆10Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- A library for Time Series EDA (exploratory data analysis)☆71Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- ☆13Updated last year
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 7 months ago
- ☆21Updated 2 weeks ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Presentation materials for PyMC Statespace☆23Updated 11 months ago
- Tutorial on time-series forcasting with scikit-learn☆33Updated 2 years ago
- Forecasting with Hyper-Trees☆18Updated 9 months ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated 2 months ago
- Unstructured Code with interesting analysis☆37Updated 9 months ago
- Official repository for the book Time Series Forecasting with Foundation Models☆24Updated last month
- ☆24Updated 3 years ago
- A Causal AI package for causal graphs.☆60Updated 4 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- This project introduces Causal AI and how it can drive business value.☆48Updated 11 months ago
- Elo ratings for time-series forecasting packages☆24Updated 3 years ago
- Examples of causality maps for time series driven by GitHub actions☆15Updated last year
- a catch-all repo☆11Updated last year
- Demo on how to use Prefect with Docker☆27Updated 2 years ago