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

4.8

stars

361 ratings

About the Course

This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. By the end of this course you should be able to: -Differentiate uses and applications of classification and classification ensembles -Describe and use logistic regression models -Describe and use decision tree and tree-ensemble models -Describe and use other ensemble methods for classification -Use a variety of error metrics to compare and select the classification model that best suits your data -Use oversampling and undersampling as techniques to handle unbalanced classes in a data set Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification 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

Feb 21, 2022

Great course, well structured. The presentation of the different methods is very clear and well separated to understand the differences. A good understanding of classifiers is gained from this course.

Feb 28, 2021

Superb ,detailed, well explained, lots of hands on training through labs and most of the major alogrithms are covered!

Keep up the good work. You guys are helping the community a lot :D

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26 - 50 of 77 Reviews for Supervised Machine Learning: Classification

By Ranjith P

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Apr 13, 2021

I recommend this course to everyone who wants to excel in Machine Learning. This is a Great Course!

By Hariom S

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Oct 2, 2021

It was a perfect experience and the instructor was very good. Thanks, IMB and Coursera

By Rorisang S

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May 16, 2021

Fantastic presentations and detailed course material make this course really worth it!

By Paulo E B d M

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Jun 8, 2022

It took longer than I expected. Lots of information, but high quality and useful.

By Verny H M B

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Aug 16, 2023

Great course with principal models to classification, very usefull in python

By Kevin P

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Mar 21, 2022

this course taught me a lot even after being a practioner for 10+ years!

By george s

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Aug 30, 2021

One of the best courses offered by IBM and coursera, 100% recommended.

By Bradford M

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Oct 17, 2023

Intensive course to learn classification supervised machine learning

By Marwan K

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Nov 23, 2021

Thank you Coursera.

Thank you IBM

Thank you to all instructors.

By Luis P S

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May 24, 2021

Always a pleasure learning new ML skills through this course!

By Daniel B

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Sep 12, 2023

Really good course and the code examples are excellent.

By Javier I T V

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Feb 4, 2023

Amazing. Full of content, activities. A lot to learn

By Yohanes S

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Jun 30, 2022

Great! Helps me build my career path in Data Science

By Zain K

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Jul 10, 2023

If you are willing to learn, they got you covered!

By Abhishek P

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Sep 27, 2023

Very Interesting and useful for understanding ml.

By Marwa M

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Oct 18, 2024

amazing instructor and informative content.

By Kymberly A

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Nov 27, 2023

Detailed information and examples provided.

By wissam m

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Aug 22, 2021

Best professional machine learning course

By NgocTTM4

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Jun 22, 2023

Thank you very much to the instructors!

By Hayyan A

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Mar 22, 2022

it is helpful and wonderful

By Vishal J

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Dec 4, 2020

Changed my viewpoint

By Augusto P

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Aug 13, 2023

EXCELLENT COURSE

By Keshav U

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Jun 10, 2022

Excellent course

By Gabriel R C P

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Mar 24, 2022

Great course!

By Nandana A

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Jan 25, 2021

Learned a lot