Supervised Machine Learning

Overview

For those who want to stay ahead, innovate, and make more informed recommendations at work, supervised learning skills are key for tackling a broad spectrum of machine learning projects.

This eight-week course uses the programming language Python to provide you with a comprehensive introduction to supervised learning without overwhelming technicalities. You will gain practical, hands-on experience properly implementing and evaluating supervised learning algorithms to draw relevant insights and solve problems.

During the Supervised Machine Learning course from University of Waterloo, you will explore the supervised learning tasks that are used to classify and group data or predict outcomes in real-world situations. Upon successful completion of the program, you will have an expanded machine learning portfolio that you can use to demonstrate your skills for potential employers, and foundational knowledge of the most popular and common supervised machine learning techniques.

What you will learn

• Identify when to use different supervised learning tools and techniques to solve real-world problems with data categorization and predictions.
• Use regression methods to analyze labelled data and make predictions.
• Sort data into groups using classification methods.
• Measure how well your classification models work using different techniques and metrics to draw effective insights.
• Improve your models by selecting the most important variables using feature selection methods.