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

3,147 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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426 - 450 of 592 Reviews for Practical Machine Learning

By Guilherme C C

May 18, 2016

Title says everything. Practically and basically no theory explained. Good course though.

By Carlos C

Aug 12, 2017

Excellent content so I give 4 starts. I stat less because the trainer speaks too fast.

By carlos j m r

Oct 5, 2017

I thought there were Swirl practice as other courses, however this course is very good.

By alon c

Mar 10, 2016

Great Course, will be nice to have more projects to see how it goes with different data

By Anant S

Jun 30, 2017

good course for initial understanding of machine learning. SVM can also be included.

By Caio H F A

Aug 23, 2019

I learned a lot in this course, but I would recommend taking the courses in order.

By danxu

Mar 13, 2017

very good, but if it has swirl practice like th other courses it would be perfect.

By Christian W

Jan 31, 2017

First 3 weeks are manageable and the final project is great! I had a lot of fun :)

By Yew C C

Feb 4, 2016

Wish to have more systematic structure, detail information and hands-on exercises.

By Vivek S

Jun 7, 2016

introduces lot of machine learning techniques which are used by practitioners !

By Ramiro A

Aug 31, 2016

Nice course, Gives a god insight on what can me done with R and Predictions

By Daniel U

Feb 17, 2016

Fast paced and little focused on the algorithms but quite useful overall.

By Matthew L

Jan 6, 2016

Really good overview of machine learning techniques and model evaluation.

By Bhawani P

Jan 6, 2017

briefly summarised the machine learning algorithms. Good place to start!

By S M H R

Feb 10, 2016

A good course where you can learn how ML algorithms work practically.

By Saurabh K

Mar 9, 2017

Very useful course to develop level knowledge in machine learning.

By Johnny C

Oct 23, 2018

It was in general nice course. However, quizzes need improvement.

By Karthik R

Aug 7, 2017

Bit tough, but I will have to say, good introductory course.

By Coral P

Aug 18, 2017

The project is good in letting us practise what we learnt

By Trung N T

Apr 19, 2018

Thank you! My teacher. The course very good. Many thanks

By Shobhit K T

Dec 18, 2017

Great course with practical insights on machine learning

By Minki J

Dec 28, 2017

good to know many concepts of machine learning model.

By Shikhar K D

Oct 1, 2020

A very helpful course in this specialization series.

By Diego T B

Nov 7, 2018

Very useful. The models were very easy to understand

By Grigory S

Aug 28, 2018

A bit short on practical aspects of different models