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Material from the course DAT158: Machine Learning Engineering @ HVL

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DAT158ML: Machine Learning Engineering

This is the code repository for the 2024 version of DAT158 at HVL. Students following the course can access the Canvas pages here.

Getting started

👉 You find the course notebooks here: /notebooks.

💻 ☁️ To work with the code material in DAT158 you have two choices: installing software locally on your own computer or using cloud services.

Set up your computer

Go to Set up your computer for step-by-step instructions for how to install the necessary software on your own computer.

Use cloud services

The easiest way to get going is to use cloud services like Google Colab, Kaggle Notebooks, or Deepnote (whichever you prefer).

  • Google Colab: Select "Open notebook" ▶️ GitHub ▶️ Enter HVL-ML/DAT158 and select a notebook -- or simply click here: Google Colab
  • Kaggle Notebooks: Select "New notebook" ▶️ File ▶️ Import ▶️ GitHub and search for HVL-ML/DAT158
  • DeepNote: Click here: DeepNote

You can also browse the notebooks (non-interactively) using nbviewer: nbviewer


A course from the HVL AI Engineering Group

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Material from the course DAT158: Machine Learning Engineering @ HVL

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