Machine Learning: Practical Data Analysis COMP 9723 New Online Option Email to a Friend 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. Note(s) Course Delivery Method: This is normally an in-class course but will be offered temporarily online via Google Classroom while college buildings are closed. Prerequisite(s) You must have completed our COMP 9721 Introduction to Machine Learning course. Contact Information 416-415-5000, ext. 4861 firstname.lastname@example.org Course Section(s) Available CRN: W53575 Date(s) Day(s) Time Building Room 28 Mar 2020 – 23 May 2020 Sa 9:30 a.m. – 4 p.m. OFF TBA Hours: 42 Fee: $334 (includes $25 in non-refundable materials) Note: This course is offered temporarily online while college buildings are closed. Register Now 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.