This workshop provides an introduction to machine learning using Python. Participants will use Scikit-Learn, NumPy and Matplotlib to solve problems using supervised and unsupervised machine learning techniques.

For more PICSciE/RC workshops on machine learning see the Spring 2024 line-up.

Click on a notebook above such as notebook1_regression.ipynb. After the notebook loads, click on the "Open in Colab" button. Run the cells. If you encounter the message "Warning: This notebook was not authored by Google" then choose "Run anyway".

1. Point your browser to https://jdh4.github.io/python_machine_learning/
2. After the JupyterLite interface loads, in the file browser on the left, double-click on a notebook such as notebook1_regression.ipynb
3. Run the notebook as usual by clicking on the "play" button and so on.

The preferred web browsers are Firefox 90+ and Chromium 89+.

If you encounter any difficulties with the material in this guide then please attend a help session.

This guide was created by Christina Peters with contributions from Julian Gold and Jonathan Halverson.