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Avis et commentaires pour d'étudiants pour Supervised Machine Learning: Regression par IBM

200 évaluations
40 avis

À propos du cours

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....

Meilleurs avis

15 nov. 2020

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

6 nov. 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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26 - 41 sur 41 Avis pour Supervised Machine Learning: Regression

par Nikolas R W

24 déc. 2020

Great course to learn about regression!

par Alessandro S

15 avr. 2021

Very well organized and explained.

par Cui Y

14 janv. 2022

Thank you!

par Rorisang S

4 mai 2021


par Abdur R K

16 sept. 2021


par Volodymyr

15 juil. 2021


par Rohit p

18 oct. 2021


par Hossam G M

22 juin 2021

This course is very great. it focuses mainly on codes and how to get your models trained well with the best results. and for that a prior knowledge of the algorithms and the coding language in addition to the different libraries would be better.

par Gianluca P

4 juin 2021

very clear contents and explanations. Regression methods are thoroughly explained. Examples of coding are indeed a very good basis to start coding on the project.

par Pankaj Z

19 avr. 2021

Very helpful course. There are few ups and downs but overall its helpful.

par El M S

20 janv. 2021

Good course with nice exemple for illustration

par Keyur U

24 déc. 2020

A great course to kick start your ML journey.

par Bernard F

27 nov. 2020

An truly exciting course!

par Iddi A A

11 déc. 2020


par YASH A

22 avr. 2021


par Ramesh B

30 janv. 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.