• Machine Learning: Practical Data Analysis COMP 9723

    New

    Evaluating statistical models is one of the most important and crucial steps in any data analysis task. Our Practical Data Analysis course explores techniques for evaluating (for regression and classification models) and for clustering. Learn about powerful methods in data analysis, including polynomial regression, naïve Bayes classifiers and hierarchical clustering. Use these algorithms to develop your understanding of the fundamentals in data analysis as you work with small data.

    Prerequisite(s)

    You must have completed our COMP 9721 Introduction to Machine Learning course.

    Contact Information

    Some courses require you to purchase a textbook. The cost of the textbook is not included in the course fee unless otherwise indicated. If there is a textbook assigned for this course, it will be listed on the bookstore website.