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Voltar para Supervised Machine Learning: Classification

Comentários e feedback de alunos de Supervised Machine Learning: Classification da instituição IBM

146 classificações
36 avaliações

Sobre o curso

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....

Melhores avaliações


21 de fev de 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.


28 de fev de 2021

Superb ,detailed, well explained, lots of hands on training through labs and most of the major alogrithms are covered!\n\nKeep up the good work. You guys are helping the community a lot :D

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26 — 37 de 37 Avaliações para o Supervised Machine Learning: Classification

por Vishal J

4 de dez de 2020

Changed my viewpoint

por Gabriel R C P

24 de mar de 2022

Great course!

por Nandana A

25 de jan de 2021

Learned a lot

por Cui Y

13 de jan de 2022

Thank you!

por Saeid S S

23 de abr de 2022


por Pierluigi A

27 de dez de 2020


por Rohit P

16 de out de 2021



17 de abr de 2021

there is a lot of information with machine learning strategies and explain how to think in front of results. Super Course ! JSON files made me confusion, it mentions notebook jupiter files but not.

por Cristiano C

18 de jan de 2021

Interesting Course, sometimes it skips some arguments that should be, imho, studied a bit deeper (i.e. UP/DOWN sampling), for the rest it's a great course with a great teacher!

por Keyur U

24 de dez de 2020

This course is has a detailed explanation on each and every aspect of classification.

por Carlos M

15 de mai de 2022

M​aybe tasks within the weeks lesson could be helpful to build a powerful knowledge.

por Meith N

15 de jul de 2021

Need to cover some basic information and examples too cause directly start from complex examples in the code section