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Kursteilnehmer-Bewertung und -Feedback für Practical Machine Learning von Johns Hopkins University

4.5
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3,149 Bewertungen
601 Bewertungen

Über den Kurs

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation....

Top-Bewertungen

MR
13. Aug. 2020

recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course

AD
28. Feb. 2017

Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.

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126 - 150 von 592 Bewertungen für Practical Machine Learning

von Douglas M

1. Feb. 2016

Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!

von benjamin s

9. Juli 2018

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

von Philippine R

22. Mai 2017

I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!

von asma m

2. Okt. 2018

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

von Michael H

21. Nov. 2020

Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.

von Mehtab

24. Aug. 2020

this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.

von Akash P

10. Mai 2018

Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.

von HARSH L

11. Juli 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

von Andrew

23. Juli 2019

Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.

von Julio G C

10. Feb. 2018

It is exactly what you need to begin in datascience.

Very good client's service if you've some problem.

von Charbel L

7. Sep. 2019

Excellent course. Shows how simple it is to start running models with machine learning...! Well done

von Light0617

4. Sep. 2016

great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.

von Channaveer P

20. Apr. 2020

Excellent course. Enables student to understand multi variable regression and comparing accuracies.

von Policarpio S

28. März 2016

I really enjoyed this course. The material was concise and allows me to get up and running with ML.

von Gustavo E L

14. März 2016

With this course, you can develop an important skill for the final steps of a data science project.

von Yadder A

31. Okt. 2019

It's the best course I've taken. It has all the basics about machine learning algorithms and more.

von Yap Y A

10. März 2019

Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice

von Weiqun T

23. Sep. 2019

This is a very good basic course for machine learning. I got the basic ideas and skills for it.

von Кирилл С

3. Feb. 2020

Great course! Very useful to train using advanced classification models and ensemble learning.

von Krishna P

20. Juni 2016

Very good content for beginner, lot of learning in machine learning special caret package in R.

von Enrique A M

18. Okt. 2020

Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.

von Gustavo C G

7. Aug. 2019

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

von Theodoros M

10. Juli 2018

Practical ML is a great course, that provides training in the practical aspects of the topic.

von Wesley E

15. Feb. 2016

Great introduction with a broad set of tools and plenty of resources for more in depth study.

von André C L

13. Dez. 2018

very good practical experience using machine learning models, especially regarding PCA usage