Chevron Left
Back to Supervised Machine Learning: Classification

Learner Reviews & Feedback for Supervised Machine Learning: Classification by IBM Skills Network

197 ratings

About the Course

This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. By the end of this course you should be able to: -Differentiate uses and applications of classification and classification ensembles -Describe and use logistic regression models -Describe and use decision tree and tree-ensemble models -Describe and use other ensemble methods for classification -Use a variety of error metrics to compare and select the classification model that best suits your data -Use oversampling and undersampling as techniques to handle unbalanced classes in a data set   Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....

Top reviews


Feb 21, 2022

Great course, well structured. The presentation of the different methods is very clear and well separated to understand the differences. A good understanding of classifiers is gained from this course.


Feb 28, 2021

Superb ,detailed, well explained, lots of hands on training through labs and most of the major alogrithms are covered!

Keep up the good work. You guys are helping the community a lot :D

Filter by:

26 - 45 of 45 Reviews for Supervised Machine Learning: Classification

By Marwan K

Nov 23, 2021

By Luis P S

May 24, 2021

By Yohanes S

Jun 30, 2022

By Wissam Z

Aug 22, 2021

By Hayyan A

Mar 22, 2022

By Vishal J

Dec 4, 2020

By Keshav U

Jun 10, 2022

By Gabriel R C P

Mar 24, 2022

By Nandana A

Jan 25, 2021

By Cui Y

Jan 13, 2022

By Saeid S S

Apr 23, 2022

By Pierluigi A

Dec 27, 2020

By Rohit P

Oct 16, 2021


Apr 17, 2021

By Cristiano C

Jan 18, 2021

By Keyur U

Dec 24, 2020

By Carlos M

May 15, 2022

By Michael M

Jun 15, 2022

By Meith N

Jul 15, 2021

By Mahitha P

May 28, 2022