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

4.7

stars

722 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

Sep 22, 2022

This course is very helpful. The wonderfull part in this course was the final course project in which I had to create my own linear regression model by adding polynimial features and regularization.

Nov 24, 2022

Great Course curated by IBM team. It is really designed well and helps to achieve the goal. It is as per the industry standard, and practical. One can do this course thoroughly and get a job.

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76 - 100 of 134 Reviews for Supervised Machine Learning: Regression

By Marcelo R c

•

Jul 17, 2023

Loved it :)

By Victor M C

•

Jul 28, 2024

buen curso

By Vandhan M K

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Jul 31, 2022

I loved it

By Cui Y

•

Jan 15, 2022

Thank you!

By Rorisang S

•

May 4, 2021

Excellent!

By Giovanny A J T

•

Mar 4, 2025

Excelente

By Janier R

•

Mar 4, 2024

thank you

By Varun S

•

Dec 25, 2022

Excellent

By Takahide M

•

Jul 14, 2022

amazing.

By Abdur R K

•

Sep 16, 2021

excellent

By Sevinchbonu K

•

Mar 27, 2025

AJOYIB

By Hariom K

•

Jan 23, 2022

Thanks

By Deb K

•

Apr 21, 2025

coool

By Tahani L

•

Nov 8, 2024

جميلة

By Guru P N

•

Sep 24, 2022

Good

By Saeid S S

•

Apr 13, 2022

great

By Volodymyr

•

Jul 15, 2021

Super

By Subham D

•

Mar 8, 2025

bes5

By shashank s

•

Sep 8, 2024

good

By That L

•

Jun 27, 2024

Good

By Chunduri S N V S M

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Jul 21, 2022

good

By Harshita B

•

Mar 29, 2022

Good

By Rohit p

•

Oct 18, 2021

best

By Saranya

•

Mar 24, 2025

nil

By MUPPIDI H

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Aug 16, 2022