Chevron Left
Voltar para Unsupervised Machine Learning

Comentários e feedback de alunos de Unsupervised Machine Learning da instituição IBM

4.7
estrelas
129 classificações
29 avaliações

Sobre o curso

This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. The hands-on section of this course focuses on using best practices for unsupervised learning. By the end of this course you should be able to: Explain the kinds of problems suitable for Unsupervised Learning approaches Explain the curse of dimensionality, and how it makes clustering difficult with many features Describe and use common clustering and dimensionality-reduction algorithms Try clustering points where appropriate, compare the performance of per-cluster models Understand metrics relevant for characterizing clusters Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning 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

AD

18 de abr de 2021

It is a beautifully crafted course that looks at various clustering algorithms. More importantly, show the pros and cons of each algorithm/technique based on different patterns.

AF

6 de nov de 2020

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

Filtrar por:

26 — 31 de 31 Avaliações para o Unsupervised Machine Learning

por Cui Y

13 de jan de 2022

Thank you!

por Fernandes M R

10 de mar de 2021

very good

por Kaumil A

26 de fev de 2021

Awesome

por Keyur U

24 de dez de 2020

They have got the best instructor!

por Tech S

2 de set de 2021

No math , only superficial concepts. Not recommending to anyone else..

por az

10 de mai de 2022

Many typos and incorrect quizzes that haven't been fixed after several years.