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

3,148 ratings
601 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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176 - 200 of 592 Reviews for Practical Machine Learning

By Marcus S

Feb 11, 2016

Great introduction to the subject with good classification examples using R.

By Gayathri N

Sep 21, 2020

Wonderful foundational course to understand the basics of machine learning.

By Sarah S

May 31, 2017

I enjoyed detailed information and was very straight forward to understand.


Sep 10, 2017

Very good for anyone wanting to get into the field of Data Science using R

By Sandro G

Oct 13, 2017

I have learnt a lot of thing and very happy to have followed this course

By Camilo Y

Mar 14, 2017

This course is a good introduction to machine learning algorithms with R

By Massimiliano F

Feb 17, 2017

In my opinion, the best course of the entire Data Science Specialization

By Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

By Mehrdad P

Nov 20, 2019

Overall was a great course for an overview of the techniques available.

By Filippo C

May 3, 2020

It was very interesting. It sparked the interest to deepen this topic!

By Robert J C

Oct 27, 2019

It gets harder but fun...R, as well Python and Matlab, can do AI well.

By Bruno R S

Mar 7, 2019

a quick introduction to the basic algorithms for machine learning in R

By Mehdi Z

Mar 25, 2016

Hands-on training, practical introduction to machine learning using R!

By Ray W

Mar 21, 2016

Principle and practices. Good coverage on topics to get you started!

By Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

By Sebastian F

Jan 24, 2016

Great course. Really educational and informative. Well taught too!

By Roberto D

Jun 20, 2017

Methods to be applied in preparation for creating a data product.

By Reza M

Jul 9, 2020

Excellent engaging course. At times difficult but very enjoyable

By Alejandro B G

Feb 9, 2016

A great Course, my favorite into the Data Science Specialization

By Gary R S

Dec 31, 2017

Excellent intro to machine learning with interesting projects.


Dec 25, 2017

Pushed me to learn and experiment and make mistakes. Thank you

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,