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lsabd-machine-learning-tutorials

Tutorials machine learning for the Large Scale Analysis of Biomedical Data course

About

This repository offers beginner-friendly Jupyter notebook tutorials that introduce core machine learning concepts and techniques, covering topics such as data preprocessing, dimensionality reduction, overfitting and regularization, classification, and regression.

Contents

Topic Notebook
Data preprocessing Open In Colab
Dimensionality reduction Open In Colab
Overfitting and regularization Open In Colab
Classification and regression Open In Colab

Setup

Open in Google Colab

Simply click the badge in each notebook to open it in Google Colab.

Run locally

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.

Credits

These tutorials are based on sdgroeve/Machine_Learning_course_UGent_D012554_2025.