Chevron Left
Back to Supervised Machine Learning: Regression

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

4.7
stars
621 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

MM

Sep 21, 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.

GP

Nov 23, 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.

Filter by:

26 - 50 of 121 Reviews for Supervised Machine Learning: Regression

By MAURICIO C

Mar 25, 2021

It was an exceedingly difficult for me, sometimes JSON files under Jupiter Notebook links made me freeze. But this intensity of challenge brings me an improvement for my skills.

Thanks Coursera & IBM

By Muhateer M

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.

By Gopi P

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.

By Alparslan T

Jan 6, 2022

Linear Regression, Ridge, Lasso, Elastic Net, L1 and L2 regularizations... All very well explained theoretically and coded on Jupyter Notebook accordingly.

By Anish K

Jul 2, 2023

Highly recommended if you want to learn Supervised learning : regression professionally with library. You should have prior knowledge to mathematics.

By konutek

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 Mohammad K K

Aug 12, 2022

It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.

By mustafa

Sep 19, 2022

It is very successful in explaining the topics and showing them in practice. thanks IBM and coursera

By Luis P S

May 4, 2021

Excellent!!! I rather recommend the course for those who need to understand properly and fast!

By Евгений

Feb 12, 2024

Deep understanding of regression models and math concepts. I definitely recommend this course

By Vivek O

Apr 10, 2021

Very well presented. This is without doubt the best series for Machine Learning on Coursera.

By wissam m

Jun 6, 2021

best course ever I learned regression and polynomials in a professional way.

thank you

By amir i

Oct 19, 2023

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

By Saraswati P

Aug 11, 2021

Well structured course. Concepts are explained clearly with hands on exercises.

By Goh K L

Jun 5, 2021

Please give the lecturer credit and include him as one of the instructors

By Pratik N

Feb 7, 2022

really good course, content is rich with good machine learning concepts

By Patrick B

Jun 16, 2021

Great way learn about machine learning development of regression models

By Mandy W

Aug 31, 2024

The concept is well explained and involves solving real-life problems

By Usman V

Jul 6, 2022

awesome expirence and iam good to go towards an next course thankyou.

By Bishal B

Apr 4, 2022

Great course for someone wanting to learn Supervise Machine learning

By Juan M

Jun 11, 2021

Very well structured course, the explanations were very clear.

By My B

Apr 14, 2021

A well structured course with useful techniques in real life.

By Amir D (

Feb 24, 2022

thanks for the great path learning DS-ML, great instructor

By JV K

May 10, 2022

This is a comprehensive course. Learned a lot. Thank you!

By Dheeraj Y

Nov 14, 2022

got a lot to learn specially , last one project.