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
- Hello world univariate examples for a variety of time series packages.☆55Updated 9 months ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last month
- a catch-all repo☆11Updated last year
- Validation for forecasts☆18Updated 2 years ago
- Fast implementations of common forecasting routines☆40Updated this week
- Demo on how to use Prefect with Docker☆26Updated 2 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 11 months ago
- Repository containing the code of the projects presented in my personal website.☆42Updated last week
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 6 months ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆48Updated 10 months ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- TSForecasting: Automated Time Series Forecasting Framework☆28Updated 8 months ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆36Updated last year
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated last month
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆31Updated 2 years ago
- ☆32Updated last year
- ☆18Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 2 months ago
- Examples of causality maps for time series driven by GitHub actions☆15Updated last year
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆19Updated last month
- Various utilities for time series forecasting☆10Updated 2 years ago
- Elo ratings for time-series forecasting packages☆24Updated 3 years ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- ☆12Updated 3 years ago