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Machine Learning for Data Analysis, Wesleyan University

Оценки: 207
Рецензии: 45

Об этом курсе

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions....

Лучшие рецензии

автор: BC

Oct 05, 2016

Very good course. I recommend to anyone who's interested in data analysis and machine learning.

автор: DB

Jan 25, 2018

There is some problems because of changes both in SAS and Python after creating the course

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Рецензии: 43

автор: Drew Mery

Oct 13, 2018

Learned some really useful ML models.

автор: Γεώργιος Κίμινος

Jul 04, 2018

A must to do introductory course. I will never regrett taking that valuable course but I have to say that some improvements would make it much better. The theoretical background is too short and the proffesors seem to spend more time to describe simple functions like saying put there an ('underscore', 'parenthesis') than seting the reasons of doing that and what are the targets of the programmes. Any way all of these problems and maybe some more are not a reason for someone who wants to start machine learning to not participate in that course especially if he is a pythonist.

автор: Ruben Dario Suing Paccha

Jun 29, 2018

Great classes. It is the beginning to machine learning, and you can try more classes about it. You can find many job about it.

автор: Тефикова Алие Ринатовна

Mar 20, 2018

все супер

автор: Остроухов Максим Николаевич

Mar 06, 2018

Unfirtunately superficial and outdated view on the subject.

автор: Смирнов Владимир Георгиевич

Feb 26, 2018

Great course!

автор: Фаткулбаянов Тимур Рузалимович

Feb 07, 2018

The course was indeed pretty interesting, I've learned a lot of new things (and got to learn how to do a little bit of coding using Python). The only thing I would recommend is to add some more datasets, because even though it's pretty easy to find some datasets on the Internet, I think 3 out of 5 suggested datasets were extremely difficult to figure out and were much more complex than the other two.

автор: Adrielle Santana

Feb 06, 2018

Excelente curso. Explicações didáticas com exemplos reais implementados e detalhados em python. Descrição muito boa das aplicações das técnicas apresentadas bem como de suas limitações. Parabéns para as professoras por esse excelente curso e muito obrigada por nos disponibilizar este trabalho maravilhoso no Coursera.

автор: Dmitry Bachin

Jan 25, 2018

There is some problems because of changes both in SAS and Python after creating the course


Jan 06, 2018

More Implementation oriented and less math

also contains distracting background videos when explaining important concepts