Chevron Left
Zurück zu Supervised Machine Learning: Classification

Bewertung und Feedback des Lernenden für Supervised Machine Learning: Classification von IBM Skills Network

161 Bewertungen

Über den Kurs

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....



21. Feb. 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. Feb. 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

Filtern nach:

26 - 43 von 43 Bewertungen für Supervised Machine Learning: Classification

von Yohanes S

30. Juni 2022

Great! Helps me build my career path in Data Science

von Wissam Z

22. Aug. 2021

Best professional machine learning course

von Hayyan A

22. März 2022

it is helpful and wonderful

von Vishal J

4. Dez. 2020

Changed my viewpoint

von Keshav U

10. Juni 2022

Excellent course

von Gabriel R C P

24. März 2022

Great course!

von Nandana A

25. Jan. 2021

Learned a lot

von Cui Y

13. Jan. 2022

Thank you!

von Saeid S S

23. Apr. 2022


von Pierluigi A

27. Dez. 2020


von Rohit P

16. Okt. 2021



17. Apr. 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.

von Cristiano C

18. Jan. 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!

von Keyur U

24. Dez. 2020

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

von Carlos M

15. Mai 2022

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

von Michael M

15. Juni 2022

the material in the last week felt rushed

von Meith N

15. Juli 2021

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

von Mahitha P

28. Mai 2022

Complex topics are not explained properly. The instructor just reads off the slides.