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:
- ☆13Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- Hierarchical Forecasting at Scale☆13Updated last year
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 4 months ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Forecasting with Hyper-Trees☆18Updated 8 months ago
- A collection of MLflow custom flavors☆14Updated last year
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Validation for forecasts☆18Updated 2 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last week
- This project introduces Causal AI and how it can drive business value.☆47Updated 9 months ago
- Fast implementations of common forecasting routines☆39Updated this week
- Hello world univariate examples for a variety of time series packages.☆56Updated 9 months ago
- A Causal AI package for causal graphs.☆60Updated 2 months ago
- Integrated tool for model development and validation☆30Updated last month
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆38Updated 3 months ago
- Presentation materials for PyMC Statespace☆22Updated 9 months ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 10 months ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated last year
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Elo ratings for time-series forecasting packages☆23Updated 3 years ago
- Various utilities for time series forecasting☆10Updated 2 years ago
- ☆17Updated 8 months ago
- Wrapper around MLForecast for more plug and play forecasting☆10Updated last year
- ☆13Updated last year
- Structural Time Series on US electricity demand data☆22Updated 4 years ago