Chevron Left
Back to Practical Machine Learning

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

3,215 ratings

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


Jan 16, 2017

excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!


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

Filter by:

201 - 225 of 610 Reviews for Practical Machine Learning

By Reza M

Jul 9, 2020

By Alejandro B G

Feb 9, 2016

By Gary R S

Dec 31, 2017

By Prakash M

Dec 25, 2017

By Aleksey K

Feb 9, 2016

By Anil P

May 14, 2022

By Anna O

Nov 4, 2020

By Vitalii S

Aug 1, 2017

By Rui R

Feb 5, 2017

By Jose R C

Aug 16, 2016

By Harini A

Jun 8, 2020

By Erich F G

Apr 14, 2018

By Sebastian R

Sep 19, 2017

By Carlos B

Aug 10, 2017

By Anitha C

Jul 27, 2017

By ozan b

Apr 21, 2017

By Harland H

Sep 30, 2018

By Ilia S

Apr 26, 2016

By Klever M

Jul 29, 2019

By Giovanni M C V

Feb 16, 2016

By Julien N

Dec 18, 2018

By Sanjeev R

Dec 16, 2018

By Hawk G

Dec 23, 2017

By Dimitrios G

Jul 7, 2017

By antonio q

Feb 27, 2018