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Learner Reviews & Feedback for Supervised Machine Learning: Regression by IBM

4.7

stars

824 ratings

About the Course

This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques. By the end of this course you should be able to: Differentiate uses and applications of classification and regression in the context of supervised machine learning Describe and use linear regression models Use a variety of error metrics to compare and select a linear regression model that best suits your data Articulate why regularization may help prevent overfitting Use regularization regressions: Ridge, LASSO, and Elastic net Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression 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

Oct 18, 2023

The course is extremely good in understanding the concepts of regressions. Great work

Nov 6, 2020

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

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151 - 159 of 159 Reviews for Supervised Machine Learning: Regression

By Jacob J

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Nov 6, 2022

The content was great. However, there were numerous typos and more than half of the time the labs either wouldn't load and/or the notebooks were not the same as the videos. This was similar as the prior course.

By Andre S

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Oct 1, 2023

Added extra good content, but poor explanation. Graded quiz are not well explained in the course.

By Carlos J

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Sep 26, 2023

Too many errors in exams. Repeated videos and deprecated python codes.

By Khalid M

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Mar 23, 2023

Good course , but many videos should be explained more visually

By Luis A G R

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Dec 5, 2023

Algunos notebooks marcan error.

By Saman F

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Feb 17, 2023

good and its very helpfull

By HARSHA V

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Oct 17, 2023

By Rick B

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May 21, 2025

This would be a fantastic course, but there are no handouts! First off It would be nice to have a notebook on the code you're working on, since trying to follow along squinting at the instructor's notebook, is very poor way of teaching. You spend most of the lecture writing notes, so you may miss something the instructor says. You have better classes on the subject such as the University of Michigan's class. This class was the breaking point with IBM, especially as you get into the more technical issues. I appreciate IBM putting the material out but I have had it.

By mxio

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Jul 3, 2025

Too many Quizzes graded incorrectly