Visualise your research using Python

This workshop will cover the Python tools you need to visualise your research. We will begin by exploring essential libraries that make it easy to create both effective and interactive visualisations.

The second half of the workshop will focus on dimensionality reduction techniques for visually identifying outliers in your data and understanding how machine learning models behave.

The workshop will run from 9:15 to 11:45, and there will be plenty of time to try out the different visualisation techniques on your own laptop.

Instructions on how to install the required libraries will be sent upon registration.

9:15 InfraVis - Ingela Nyström
9:30 From Static to Interactive Visualisations in Python- Anders Hast
10:15 Paus
10:30 Tools for Exploring High-Dimensional Data - Anders Hast
11:30 Wrap up of the day

Please register here

Name

E-mail

Organisation

Your role in the organisation

By registering, I consent to Örebro University processing the information I provide in the registration form for this event for the duration of the event. The information provided may be corrected or deleted by contacting the person responsible for the event.

More information about how Örebro University processes personal data is available on the page Processing of personal data at Örebro University.

I understand and accept that Örebro University processes my personal data in accordance with the purpose stated above and applicable data protection legislation.