Supervised machine learning is one of the most commonly used machine learning paradigms, as it can be used to leverage existing datasets to draw outcomes that support data classification and predictions. 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 course, 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.