Session 8: Elements of Machine Learning

Date and Time: 09.06.2026 - 17:00-19:00
Duration: 1h45 with a 15-minute break


MS Teams Meeting Info:


Join: https://teams.microsoft.com/meet/358814874050105?p=pgGludunP855Ua2FJl
Meeting ID: 358 814 874 050 105
Passcode: XL64QE2o



Content:

  • Overview of machine learning
  • Classification tasks
    • Logistic Regression model
    • k-Nearest Neighbor model
  • Regression tasks
    • Linear Regression model


Learning Materials

M8_MachineLearning_Notebook.ipynb

Exercise (for after the lesson)

L8_Exercise.ipynb

Solutions and Recording

In the Google Drive folder below, you'll find all of the post-lesson materials, i.e. the lesson recording, filled-out version of the lesson Jupyer Notebook, and exercise solutions.
https://drive.google.com/drive/folders/1w97b9xz5MFUP1SNu-iAeDvgYmPPQBPs-?usp=drive_link


Requirements

  • Your own laptop
  • Internet connection


  • Keine Stichwörter