Tutorials machine learning for the Large Scale Analysis of Biomedical Data course
This repository offers beginner-friendly Jupyter notebook tutorials that introduce core machine learning concepts and techniques, covering topics such as data preprocessing, classification and regression, overfitting and regularization, model selection, and dimensionality reduction.
| Topic | Notebook |
|---|---|
| Machine learning basics |  |
| Overfitting and regularization | |
| Regression on real-life data | |
| Dimensionality reduction and latent spaces | |
Simply click the badge in each notebook to open it in Google Colab.
The UV lockfile contains the same Python package versions as used in the Google Colab environment
as of October 2025. To set up a local environment with these packages,
Install UV and sync the environment with
the lockfile: uv sync.
These tutorials are based on sdgroeve/Machine_Learning_course_UGent_D012554_2025.