Scenarios and Courses

This site contain a list of scenarios and courses.


A scenario is a real-world example. To solve the tasks in a scenario you might need to combine different machine learning techniques and and most likely also use different libraries. Current scenarios are:


This section contains a list of courses. A course is defined as a set of notebooks, which have something in common, e.g:

  • The notebooks in one course might be about a certain algorithm (e.g. logistic regression) and how to implement it using different librarys (e.g. numpy, tensorflow, pytorch, pymc).
  • The notebooks in one course are about different algorithms, but all are to be implemented using the same library.

Current courses are: