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Learner Reviews & Feedback for Practical Machine Learning by Johns Hopkins University

3,159 ratings
604 reviews

About the Course

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 reviews

Aug 13, 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

Feb 28, 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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201 - 225 of 595 Reviews for Practical Machine Learning

By Aleksey K

Feb 9, 2016

Made many things clear. Perhaps, the best class in the series.

By Anna O

Nov 4, 2020

a simple way of real practice of machine learning algorithms.

By Vitalii S

Aug 1, 2017

No swirl exercises, but last project totally worth my time.

By Rui R

Feb 5, 2017

One of the best courses in the Data Science Specialization,

By Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

By Harini A

Jun 8, 2020

Good course material and very practical oriented training

By Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

By Sebastian R

Sep 19, 2017

Great intro machine learning, you will know how to use it

By Carlos B

Aug 10, 2017

This was one of the better courses in the series, thanks.

By Anitha C

Jul 27, 2017

I enjoyed working on this course. There is a lot good and

By ozan b

Apr 21, 2017

Best course of the programme. Simple and explained well.

By Harland H

Sep 30, 2018

Very informative and the project was fun to accomplish.

By Ilia S

Apr 26, 2016

One of the most valuable courses in the specialization!

By Klever M

Jul 29, 2019

It was a great overview of the fascinating word of ML.

By Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

By Julien N

Dec 18, 2018

nice pace, good overview to start with modelling in R

By Sanjeev R

Dec 16, 2018

Introductory course but it explains the basics easily

By Hawk G

Dec 23, 2017

Good solid intro to the concepts of machine learning.

By Dimitrios G

Jul 7, 2017

Amazing course. Short videos packed with information!

By antonio q

Feb 27, 2018

it was great, simply though exhaustive, thanks a lot

By Monnappa

Nov 12, 2016

Good content as an introduction to Machine learning!

By Margaret O

Sep 17, 2020

It was challenging but awesome learning expereince

By Dewald O

Feb 24, 2019

great course in R, really covers the fundamentals.

By Yong-Meng G

Jun 19, 2017

Insightful and practical ! One of the best so far.

By Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.