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Opiniones y comentarios de aprendices correspondientes a Supervised Learning: Classification por parte de IBM

4.9
estrellas
33 calificaciones
8 reseña

Acerca del 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....

Principales reseñas

JV
18 de ene. de 2021

I would like to give especial thanks to the instructor (the one in the videos) for his great job. It would be nice to know who is is.

AF
7 de nov. de 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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1 - 8 de 8 revisiones para Supervised Learning: Classification

por Fitrie R

23 de dic. de 2020

This course is a next level after understanding classification machine learning model. All my questions had been answered with this module. The instructor is very great to clarify the whole python code used. Highly recommended course

por Konrad B

17 de dic. de 2020

The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.

por Jose M

19 de ene. de 2021

I would like to give especial thanks to the instructor (the one in the videos) for his great job. It would be nice to know who is is.

por Abdillah F

8 de nov. de 2020

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

por Vishal J

4 de dic. de 2020

Changed my viewpoint

por Pierluigi A

27 de dic. de 2020

great

por Cristiano C

18 de ene. 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 dic. de 2020

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