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
- ☆13Updated last year
- Fast implementations of common forecasting routines☆39Updated last week
- ☆13Updated last year
- Unstructured Code with interesting analysis☆37Updated 7 months ago
- Toolkit to forge scikit-learn compatible estimators☆18Updated this week
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- Hierarchical Forecasting at Scale☆13Updated last year
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Validation for forecasts☆18Updated 2 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 5 months ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆24Updated 6 months ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated 11 months ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆30Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆23Updated last month
- Tools for diagnostics and assessment of (machine learning) models☆35Updated 3 months ago
- Forecasting with Hyper-Trees☆17Updated 7 months ago
- Hello world univariate examples for a variety of time series packages.☆56Updated 8 months ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- Repository containing the code of the projects presented in my personal website.☆42Updated this week
- Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data☆9Updated 2 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 3 months ago
- Integrated tool for model development and validation☆28Updated 2 weeks ago
- Repository for GH public projects☆18Updated last year
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆16Updated 2 years ago
- A Causal AI package for causal graphs.☆57Updated last month
- Various utilities for time series forecasting☆10Updated 2 years ago
- A collection of MLflow custom flavors☆14Updated last year