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Supervised Machine Learning: Classification(으)로 돌아가기

IBM의 Supervised Machine Learning: Classification 학습자 리뷰 및 피드백

4.9
별점
116개의 평가
28개의 리뷰

강좌 소개

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....

최상위 리뷰

AP
2021년 2월 28일

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

JM
2021년 6월 17일

The course is very well structured, and the explanations very clear. I would only suggest enhancing the peer-review community since it takes a long time to get a review sometimes.

필터링 기준:

Supervised Machine Learning: Classification의 29개 리뷰 중 26~29

교육 기관: Hossam G M

2021년 8월 22일

The course content is very great in the coding area and it is very helping. but a shortage that is clear is the theory behind every algorithm, the handling of it wasn't that much perfect.

교육 기관: Cristiano C

2021년 1월 18일

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!

교육 기관: Keyur U

2020년 12월 24일

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

교육 기관: Meith N

2021년 7월 15일

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