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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

JC

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!

EG

Jul 27, 2016

I learned a lot in this class. There are slight gaps from the depth of material covered in the lectures to the quizzes and assignment. If you're good at researching online, you'll be fine.

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326 - 350 of 622 Reviews for Practical Machine Learning

By Ganesh P

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May 9, 2018

Very well plan

By Rajesh S

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Sep 4, 2017

Awsome course!

By Muhammad Z H

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Sep 15, 2019

learning alot

By Rodrigo C

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Oct 14, 2017

Great course.

By yefu w

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May 30, 2017

Great Course!

By Carlos A C Z

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Feb 12, 2018

Nice course.

By K W

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Feb 11, 2017

Great course

By Yogesh C , B E E I ( V (

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Jun 18, 2016

great course

By Evgeniy Z

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Apr 12, 2016

Nice course.

By Fatima C

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Apr 1, 2020

Good Course

By Ashwin V

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Oct 11, 2019

Best course

By shashwat k

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Oct 15, 2018

insightfull

By Sumeet M

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Jan 8, 2018

Nice Course

By Deleted A

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Nov 1, 2021

Thank you!

By Sidney d S P B

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Feb 18, 2021

Excellent!

By Javier E S

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Dec 2, 2018

Excellent.

By Jeremy O

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Mar 9, 2017

excellent!

By Rudolph A M

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Oct 20, 2016

Wonderful!

By Neven S

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Jan 22, 2016

Very good!

By qixiu j

•

Apr 14, 2022

well done

By Luis M M R

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Dec 23, 2018

very good

By Carlo G I

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Dec 4, 2018

thank you

By gerson d o

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Dec 25, 2019

Perfect!

By Fernando M

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Oct 22, 2017

Awesome!

By Fabio A C

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Dec 25, 2016

The best