Machine Learning: Practical Data Analysis COMP 9723 New 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. Prerequisite(s) You must have completed our COMP 9721 Introduction to Machine Learning course. Contact Information 416-415-5000, ext. 4861 email@example.com Course Section(s) Available CRN: W53254 Date(s) Day(s) Time Building Room 21 Mar 2020 – 09 May 2020 Sa 9:30 a.m. – 4 p.m. CLC TBA Hours: 42 Fee: $334 (includes $25 in non-refundable materials) 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.