Chevron Left
Back to Practical Machine Learning

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

3,061 ratings
580 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.

Filter by:

301 - 325 of 570 Reviews for Practical Machine Learning

By yefu w

May 30, 2017

Great Course!

By Carlos A C Z

Feb 12, 2018

Nice course.

By Kevin W

Feb 11, 2017

Great course

By Yogesh C , B E E I ( V (

Jun 18, 2016

great course

By Evgeniy Z

Apr 12, 2016

Nice course.

By Fatima C

Apr 1, 2020

Good Course

By Ashwin V

Oct 11, 2019

Best course

By Shashwat K

Oct 15, 2018


By Sumeet M

Jan 8, 2018

Nice Course

By Javier E S

Dec 2, 2018


By Jeremy O

Mar 9, 2017


By Rudolph A M

Oct 20, 2016


By Neven S

Jan 22, 2016

Very good!

By Luis M M R

Dec 23, 2018

very good

By Carlo G I

Dec 4, 2018

thank you

By gerson d o

Dec 25, 2019


By Fernando L B d M

Oct 22, 2017


By Fábio A C

Dec 25, 2016

The best

By Artem A

Apr 14, 2016


By Peter T

Feb 29, 2016

Love it.

By Johan J

Nov 21, 2016


By Jeff L J D

Nov 14, 2020


By Pedro M

Jan 10, 2020


By George O O

May 8, 2018


By Sabeur M

Nov 7, 2020