cetagostini / marketing-science-projectsLinks
Mis proyectos de marketing aplicando AI
☆11Updated last week
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☆25Updated 2 years ago
- ☆24Updated last month
- ☆13Updated 2 years ago
- Presentation materials for PyMC Statespace☆25Updated last year
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated 5 months ago
- Repository containing the code of the projects presented in my personal website.☆44Updated 2 weeks ago
- Hello world univariate examples for a variety of time series packages.☆57Updated last year
- This project introduces Causal AI and how it can drive business value.☆52Updated last year
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Validation for forecasts☆17Updated 2 years ago
- ☆23Updated last year
- TSForecasting: Automated Time Series Forecasting Framework☆29Updated 11 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Time-Series Cross-Validation Module☆46Updated 3 years ago
- Unstructured Code with interesting analysis☆37Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆62Updated 2 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
- Official repository for the book Time Series Forecasting with Foundation Models☆30Updated 3 weeks ago
- ☆32Updated 2 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Elo ratings for time-series forecasting packages☆24Updated 3 years ago
- Examples of causality maps for time series driven by GitHub actions☆15Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
- ☆115Updated last year
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago