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Machine Learning for Data Analysis(으)로 돌아가기

웨슬리언 대학교의 Machine Learning for Data Analysis 학습자 리뷰 및 피드백

233개의 평가
50개의 리뷰

강좌 소개

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....

최상위 리뷰


Oct 05, 2016

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


Jun 26, 2016

Good introduction with python example for famous algorithm such as random forest and k-mean

필터링 기준:

Machine Learning for Data Analysis의 48개 리뷰 중 1~25

교육 기관: Фаткулбаянов Т Р

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.

교육 기관: Richard M

Mar 02, 2016

Not impressed with the teaching style.

Seems that lectures were being read and not taught.

교육 기관: Santhosh K J

Feb 25, 2019


교육 기관: Yaman S

Feb 28, 2016

Excellent course

교육 기관: Смирнов В Г

Feb 26, 2018

Great course!

교육 기관: Jinbo C

Jan 08, 2017

easy to capture the concept

교육 기관: Ruben D S P

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.

교육 기관: Felix A R

Jun 28, 2016

Option of learning both SAS and Python is great!

교육 기관: Dmitry B

Jan 25, 2018

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

교육 기관: Mathilde v E

Jul 21, 2016


교육 기관: Тефикова А Р

Mar 20, 2018

все супер

교육 기관: Macarena E

Sep 19, 2017

I enjoyed this course a lot. It's easy and I've learnt what I need to apply the machine learning techniques. Easy and simple. You don't need to be a mathematician.

교육 기관: Deleted A

Sep 08, 2016

short vedios and good ma

교육 기관: Γεώργιος Κ

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.

교육 기관: MANOJ K

Feb 22, 2016

I really liked this course. Concepts well explained. I was hoping for more practical exercises on different types of data sets along with how to improve model accuracy in various algorithm taught. concept such as pruning etc. were missing. But I am sure in future, we will have more on it. Thanks Professor.

교육 기관: Edward M

Jun 26, 2016

Good introduction with python example for famous algorithm such as random forest and k-mean

교육 기관: Genara P

Apr 06, 2017

Excellet! I highly recommend!

교육 기관: Artem A

Apr 14, 2016


교육 기관: Steven L

Aug 30, 2017


교육 기관: Bruno G C

Oct 05, 2016

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

교육 기관: Adrielle S

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.

교육 기관: karthik

Nov 09, 2017

Well structured .

교육 기관: Павел Б

Jul 25, 2016

It is very interesting, helpful, useful and wonderful course. Everybody who interesting in statistic must surely learn this course.

교육 기관: Thomas C K

Oct 11, 2016

Great Class!

교육 기관: Mukkesh G

May 30, 2019

A good introduction to Machine Learning. Makes me curious to know about the methods that are available outside of this course. Great material as usual.

Update After actually studying Machine Learning for months: A pretty intro to the world of ML. After learning the math behind it and other algorithms, I can say that this specialization is pretty much just the Statistical interpretations of your analysis (explained with the implementation of some powerful yet basic algorithms without really getting into the Hard Core math behind it)