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

4.5
stars
3,266 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

MR

Aug 14, 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

EG

Jul 28, 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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476 - 500 of 624 Reviews for Practical Machine Learning

By Ryan S

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Apr 25, 2024

Good material, should be updated to use tidymodels

By caramirezal

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May 28, 2018

Great Course! I have learned a lot of new things.

By Steve d P

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Mar 20, 2016

Nice, other courses will go more in depth though.

By Stephan H

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Aug 12, 2017

Very challenging course. I learned a lot. Tanks.

By YUCHEN Z

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May 1, 2020

not so pratical based on the current situation

By Manuel C

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Dec 27, 2017

I feel I could have master the subjects better

By Rui W

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Aug 28, 2017

know some packages of machine learning using R

By Alia E

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Jul 14, 2018

Really could have used a few more examples.

By Sakib S

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Mar 15, 2019

Include more swirl practice problems.

By Nilrey J D C

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Dec 1, 2017

Good introduction to machine learning

By Vincent G

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Oct 23, 2017

appropriately challenging material.

By Nikit P

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Oct 7, 2016

Nice Course for every New candidate

By Tiziano V

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May 26, 2017

Interesting the final assignment.

By Rahul K

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Mar 7, 2016

Really Well Structured Course!!

By Robert R

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Jul 21, 2016

Just the right level of detail

By Erik K

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Jul 9, 2019

Very good. Learned a lot

By Bassey O

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May 4, 2016

Very informative course.

By Qian W

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Sep 10, 2018

need eva on my project

By Javier R

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Oct 15, 2017

Love this class !

By Mehul P

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Oct 3, 2017

Good ML overview.

By Lilia K R E

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Mar 31, 2016

Muy buen curso :)

By Tiberiu D O

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Sep 22, 2017

A good course!

By RAO U D K

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Sep 17, 2020

Excellent job

By Ray K

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May 3, 2018

pretty good!

By Piyush P

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Jul 13, 2017

good context