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A Python crash course, designed for the machine learning course "INF264: Introduction to machine learning"

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Python crash course (for INF264: Introduction to machine learning)

Welcome to this repository where you can find a python crash course that was designed to help students who did not have the necessary background in python at the start of our machine learning course INF264: Introduction to machine learning! INF264 is run by the University of Bergen (Norway) and is a part of the machine learning specialisation of the master program in informatics offered by the department of Informatics of the University of Bergen. INF264 assumes that the students have no a priori knowledge in machine learning but do have some notions of python.

Content

This python crash course is specially targetting the tools that we need at the start of INF264, namely:

  • basic python types, functions, if, for and while statements and the very basics of the library numpy.
  • In addition, to help students implement their own decision tree as a part of their first mandatory project, the second tutorial cover recursion, object-oriented programming and an example of a class implementing a basic tree.

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A Python crash course, designed for the machine learning course "INF264: Introduction to machine learning"

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