Chevron Left
Back to Practical Machine Learning

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

4.5
stars
3,088 ratings
586 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

MR
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

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.

Filter by:

426 - 450 of 576 Reviews for Practical Machine Learning

By Bhawani P

Jan 6, 2017

briefly summarised the machine learning algorithms. Good place to start!

By S M H R

Feb 10, 2016

A good course where you can learn how ML algorithms work practically.

By Saurabh K

Mar 9, 2017

Very useful course to develop level knowledge in machine learning.

By Johnny C

Oct 23, 2018

It was in general nice course. However, quizzes need improvement.

By Karthik R

Aug 7, 2017

Bit tough, but I will have to say, good introductory course.

By Coral P

Aug 18, 2017

The project is good in letting us practise what we learnt

By Nguyen T T

Apr 19, 2018

Thank you! My teacher. The course very good. Many thanks

By Shobhit K T

Dec 18, 2017

Great course with practical insights on machine learning

By Minki J

Dec 28, 2017

good to know many concepts of machine learning model.

By Shikhar K D

Oct 1, 2020

A very helpful course in this specialization series.

By Diego T B

Nov 7, 2018

Very useful. The models were very easy to understand

By Grigory S

Aug 28, 2018

A bit short on practical aspects of different models

By Alfredo M

Aug 22, 2016

Excelente curso. Ótimo conhecimento dos instrutores.

By Carlos R

May 27, 2018

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

By Steve d P

Mar 20, 2016

Nice, other courses will go more in depth though.

By Stephan H

Aug 12, 2017

Very challenging course. I learned a lot. Tanks.

By YUCHEN Z

May 1, 2020

not so pratical based on the current situation

By Manuel C

Dec 26, 2017

I feel I could have master the subjects better

By Rui W

Aug 27, 2017

know some packages of machine learning using R

By Alia E

Jul 13, 2018

Really could have used a few more examples.

By Sakib S

Mar 14, 2019

Include more swirl practice problems.

By Nilrey J D C

Dec 1, 2017

Good introduction to machine learning

By Vincent G

Oct 22, 2017

appropriately challenging material.

By PATEL N P

Oct 7, 2016

Nice Course for every New candidate

By Tiziano V

May 25, 2017

Interesting the final assignment.