Chevron Left
Back to Practical Machine Learning

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

4.5
stars
2,984 ratings
569 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

JC

Jan 17, 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!

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

Filter by:

176 - 200 of 560 Reviews for Practical Machine Learning

By Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

By Sebastian F

Jan 24, 2016

Great course. Really educational and informative. Well taught too!

By Roberto D

Jun 20, 2017

Methods to be applied in preparation for creating a data product.

By Reza M

Jul 09, 2020

Excellent engaging course. At times difficult but very enjoyable

By Alejandro B G

Feb 09, 2016

A great Course, my favorite into the Data Science Specialization

By Gary R S

Dec 31, 2017

Excellent intro to machine learning with interesting projects.

By PRAKASH J M

Dec 25, 2017

Pushed me to learn and experiment and make mistakes. Thank you

By Aleksey K

Feb 10, 2016

Made many things clear. Perhaps, the best class in the series.

By Vitalii S

Aug 01, 2017

No swirl exercises, but last project totally worth my time.

By Rui R

Feb 06, 2017

One of the best courses in the Data Science Specialization,

By Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

By Harini A

Jun 08, 2020

Good course material and very practical oriented training

By Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

By Sebastian R

Sep 19, 2017

Great intro machine learning, you will know how to use it

By Carlos M B B

Aug 10, 2017

This was one of the better courses in the series, thanks.

By Anitha C

Jul 27, 2017

I enjoyed working on this course. There is a lot good and

By Ozanb

Apr 21, 2017

Best course of the programme. Simple and explained well.

By Harland H

Oct 01, 2018

Very informative and the project was fun to accomplish.

By Ilia

Apr 27, 2016

One of the most valuable courses in the specialization!

By Klever M

Jul 29, 2019

It was a great overview of the fascinating word of ML.

By Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

By Julien N

Dec 18, 2018

nice pace, good overview to start with modelling in R

By Sanjeev K

Dec 16, 2018

Introductory course but it explains the basics easily

By Alex Z

Dec 23, 2017

Good solid intro to the concepts of machine learning.

By Dimitrios G

Jul 07, 2017

Amazing course. Short videos packed with information!