CS 300: Introduction to Machine Learning

Number of Sections: 1 | Days and Times: Tuesdays & Thursdays (8:00-9:40 ICT)

Course Description

This course is an introduction to Machine Learning. Requirements for this class are completion of basic Mathematics and Statistics modules, as well as the Introduction to Python. Throughout the class, we will cover the data preprocessing process as well as different types of machine learning models from the realms of supervised and unsupervised learning together with model evaluation metrics.

Prerequisites:

STAT 100: Introduction to Statistics

CS 210: Programming with Python