Chevron Left
Back to Practical Machine Learning

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

4.5
stars
3,257 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

AD

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.

HP

Jan 15, 2017

It was like opening up a door to a whole new world. I have discovered new tools that I will thoroughly enjoy to use for the exploration of data and for predictions. Thanks Team Coursera !

Filter by:

326 - 350 of 622 Reviews for Practical Machine Learning

By Ganesh P

•

May 9, 2018

Very well plan

By Rajesh S

•

Sep 4, 2017

Awsome course!

By Muhammad Z H

•

Sep 15, 2019

learning alot

By Rodrigo C

•

Oct 14, 2017

Great course.

By yefu w

•

May 30, 2017

Great Course!

By Carlos A C Z

•

Feb 12, 2018

Nice course.

By K 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

insightfull

By Sumeet M

•

Jan 8, 2018

Nice Course

By Deleted A

•

Nov 1, 2021

Thank you!

By Sidney d S P B

•

Feb 18, 2021

Excellent!

By Javier E S

•

Dec 2, 2018

Excellent.

By Jeremy O

•

Mar 9, 2017

excellent!

By Rudolph A M

•

Oct 20, 2016

Wonderful!

By Neven S

•

Jan 22, 2016

Very good!

By qixiu j

•

Apr 14, 2022

well done

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

Perfect!

By Fernando M

•

Oct 22, 2017

Awesome!

By Fabio A C

•

Dec 25, 2016

The best