Leveraging SDMX for machine learning in economics with the BIS open source library gingado

Overview

gingado is a machine learning library focused on economics and finance use cases. This package aims to be suitable for beginners and advanced users alike. Use cases may range from programmatic data retrievals using SDMX to experimentation with machine learning-based econometric estimators to more complex forecasting pipelines used in production.

The webinar is intended for data scientists, statisticians, and economists. More on gingado at https://sdmx.io . More on SDMX at https://sdmx.org .

By attending, you will learn about:

• How gingado can help users find and download data, which they can then use in, say, ML models.
• How to use gingado, with examples.
• How the model can take dynamic decisions (ie, trying with/without SDMX data augmentation to see which one works better)

Scheduling

When: Tuesday October 29 at 10:00 CET
Duration: 60 minutes

Register (free)