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Learner Reviews & Feedback for Supervised Learning: Regression by IBM

4.8
stars
61 ratings
12 reviews

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

NV
Nov 15, 2020

Very well designed course, great that we could work with our own data and apply the theory. Looking forward to continue the journey.

AF
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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1 - 12 of 12 Reviews for Supervised Learning: Regression

By Christopher W

Jan 25, 2021

Really good course but it is whistle-stop through the methods. I strongly recommend getting a book to accompany the course if you are relatively new just so you can cross reference some of the methods and functions.

I found some of the examples a little more difficult to apply to the course work because of how they were demonstrated in the lab. This is NOT a bad thing, all good learning, but when you're trying to unpack things it's good to have another reference source handy.

By Nick V

Nov 16, 2020

Very well designed course, great that we could work with our own data and apply the theory. Looking forward to continue the journey.

By Abdillah F

Nov 7, 2020

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

By Konrad B

Dec 13, 2020

The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.

By Nandana A

Dec 28, 2020

Learned really about supervised learning and more importantly regularization and some available methods.

By Nikolas R W

Dec 24, 2020

Great course to learn about regression!

By michiel b

Feb 15, 2021

Good overview of the different regression models and the theory behind them. Could be a bit more attention to common pittfalls and type and size of problems which are usually addressed by these methods.

By El M S

Jan 20, 2021

Good course with nice exemple for illustration

By Keyur U

Dec 24, 2020

A great course to kick start your ML journey.

By Bernard F

Nov 27, 2020

An truly exciting course!

By Iddi A A

Dec 11, 2020

Excellent

By Ramesh B

Jan 30, 2021

The course is incomplete on regression analysis. Also, the grading scale was biased after putting in a lot of time and effort(20 pages). The reason was I didn't follow the assignment questions.