Nearest Neighbours in Python with scikit-learn

Instructor: Jean Auriol (Chemical and Petroleum Engineering, UofC)

This session will build upon the previous session and will be an in-depth hands-on exploration of Nearest Neighbours (and other classifiers) in Python. A majority of the session will involve application of the classifiers to a sample industrial dataset.

Target audience: general

Duration: 3 hours

Level: beginner

Prerequisites: Basic knowledge of Python and scikit and/or attendance to the Introduction to Python and Regression Classifiers with Python sessions.

Laptop software: All attendees will need to bring their laptops with wireless access and an installation of Anaconda (free open-source software).