Predictive Modelling with Python

DataScience@UL-FRI Workshop

Summary

This workshop is an introductory hands-on course on doing a machine learning project in Python. It is aimed at students and professionals who want to learn the basics of data preparation, classification, regression and model evaluation using the state-of-the-art machine learning library scikit-learn. Familiarity with Python will be helpful, but programming skills in any other programming language would do as well.

Syllabus

• End-to-end machine learning project with real data
• Data visualization
• Feature subset selection
• Classification & regression
• Model evaluation on test data

Instructor

Jure Žabkar is a researcher at AI Lab. He is currently an assistant professor at the University of Ljubljana and has over 20 years of professional experience in applied machine learning. He conducts research in machine learning and data mining, qualitative reasoning, cognitive robotics and systems for decision support. He has participated in EU projects ASPIC, XMEDIA, XPERO and QUIERO and several smaller industrial projects.

Attendee equipment prerequisites

We recommend a working installation of Python 3 and sci-kit library. Access to all the materials, code, and datasets will be provided to participants a couple of days before the workshop.

Access to the materials (code and instructions) will be provided before the workshop.