Learner Reviews & Feedback for Practical Machine Learning by Johns Hopkins University
About the Course
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
VG
Nov 9, 2020
Great introduction to ML.Demands focus and hard work. Forces one to review earlier courses - Statistical Inference, regression models, EDA.Leaves lots of appetite for additional knowledge and skills.
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!
176 - 200 of 617 Reviews for Practical Machine Learning
By thetpyae s
•Aug 21, 2020
It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.
By Mary
•Aug 19, 2019
Very informational with good variety of code to take back and apply to projects.
By Nikhilesh J
•Mar 2, 2018
Provides a quick and dirty look at Machine Learning. An easy way to get started.
By Jeffrey M H
•Jun 10, 2019
So far, one of the most fulfilling courses in the Data Science specialization!
By Ajendra S
•Nov 8, 2017
This a good course, giving you the inside of the data science problem solving.
By Lei M
•Aug 23, 2017
This course is demanding, but I feel my own progress which is very fulfilling.
By Johan V M
•Aug 21, 2020
I loved this course. I will absolutely take more courses on Machine Learning.
By Forest W
•Jan 9, 2018
Much Better than the previous courses ( Regression and Statistical Inference)
By Ismail M
•Jan 28, 2022
Amazing and breif work for a wide discipline ,Thank you for this course :).
By Chris H
•May 23, 2016
Great course. I really enjoyed working on the prediction project at the end.
By Marcus S
•Feb 11, 2016
Great introduction to the subject with good classification examples using R.
By Gayathri N
•Sep 21, 2020
Wonderful foundational course to understand the basics of machine learning.
By Sarah S
•May 31, 2017
I enjoyed detailed information and was very straight forward to understand.
By SATHYANARAYANAN S
•Sep 11, 2017
Very good for anyone wanting to get into the field of Data Science using R
By Michael L P
•Jan 17, 2022
Excellent course - I have learned a great deal and really appreciate it!
By Sandro G
•Oct 13, 2017
I have learnt a lot of thing and very happy to have followed this course
By Camilo Y
•Mar 14, 2017
This course is a good introduction to machine learning algorithms with R
By Massimiliano
•Feb 17, 2017
In my opinion, the best course of the entire Data Science Specialization
By Diana S
•Feb 11, 2016
Thank you son much!!!!
I really like the course.
It help me in my job =)
By Mehrdad P
•Nov 20, 2019
Overall was a great course for an overview of the techniques available.
By Filippo C
•May 4, 2020
It was very interesting. It sparked the interest to deepen this topic!
By Robert J C
•Oct 28, 2019
It gets harder but fun...R, as well Python and Matlab, can do AI well.
By Bruno R S
•Mar 7, 2019
a quick introduction to the basic algorithms for machine learning in R
By Mehdi Z
•Mar 25, 2016
Hands-on training, practical introduction to machine learning using R!
By Ray W
•Mar 21, 2016
Principle and practices. Good coverage on topics to get you started!