Fundamentals of Machine Learning

Description

This course introduces the core principles and techniques of machine learning. Students will learn about supervised and unsupervised learning, covering algorithms such as linear regression, decision trees, k-nearest neighbors, and k-means clustering. The course emphasizes the importance of data preprocessing, model evaluation, and validation.

Pre-requisites

• CSC181 - Scripting and Automation

Pre-for

• AIE250 - Data Modeling
• AIE290 - Advanced Machine Learning
• PRO101 - AI Projects I

Co-requisites

• No X-Requisite course found