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Introduction to Machine Learning

This repository is based off of a workshop given to University of Minho students, organized by the university's IEEE student branch.

ML is such a broad field, that a single workshop is a very short amount of time to cover all the different things that comprise it. In this workshop, the focus is supervised classification.

Participant instructions

If you wish to just follow along what I am showcasing in the workshop, feel free to do so.

On the other hand, if you are curious and want to try to run the code and make some changes yourself, the easiest way is using google drive, so you don't have to manage any dependencies:

  • Access the google drive folder for this repository: https://drive.google.com/drive/folders/11liyCB5HmTQ81KCIVnKzWNlYIM6y026o?usp=sharing
  • Open the notebook. You will notice you can edit it, but can't save any changes, as you only have viewing permissions. To change the file and access your changes, you need to create your own copy, according to the following steps:
  • Click on File and select Save a copy in drive.
  • Wait for the file to be copied, then click Open in new tab.
  • Start coding!

If you'd rather work on your local machine, then clone this repository, but make sure your Python environment has all the necessary dependencies installed.

Tools used

python numpy pandas scikit_learn seaborn

matplotlib