EIBA Summer School 2025: AI in Quantitative Methods in International Business
This repository contains a collection of interactive R Markdown lessons designed to teach data-related topics in an accessible, hands-on way. By using Binder, educators and learners can easily launch a pre-built, containerized environment (including RStudio) right from the browser.
The repository is organized into the following files:
| Lesson File | Description |
|---|---|
4-machine_learning.rmd |
Introduces essential machine learning concepts and their practical applications. |
6-ml_exercise.rmd |
Exerise in machine learning optimization. |
The repository is configured with:
environment.yml: Lists the necessary dependencies to set up the learning environment.runtime.txt: Specifies the runtime version, ensuring the container runs with the correct configuration.
- Launch the Environment: Click the Binder badge at the top of this page to initialize your interactive R environment.
- Explore the Lessons: Once the environment is up, open any of the R Markdown files (.rmd) to begin working through the material interactively.