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).