Oct 14, 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
Aug 19, 2017
the content of videos , quiz and exercise all work extremely well together towards the stated goal of the course i.e. to give the learner a good over view of how to apply ML theories into action
By Darius Tamašauskas•
Feb 19, 2019
Great course for learning how to apply Machine Learning algorithms with Python.
By Sumit Mishra•
Feb 19, 2019
This is a very good course about How to apply Machine Learning but I think before taking this course the student should take the Andrew Ng machine learning course by Stanford University to Learn the Important Mathematics behind the ML algorithms
But Enjoyed this course a lot
Feb 15, 2019
It is definitely the best-organized, best-paced, most-worked-on course in this specialization, and from the MOOCs I have ever taken. Strongly recommend for your knowledge and career advance. Great professor!
By Anne Estoppey•
Feb 14, 2019
Very nice class for people who have some intermediate knowledge in Python and who want to dig in, or consolidate their knowledge in Machine Learning. Great overview over scikit-learn, also going into details, and I also appreciated the part of the class about model evaluation. First week might seem not overly difficult, but the intensity of the class ramps up significantly in week 2. For me the level was challenging enough, without being overwhelming. I enjoyed taking this class and obtaining my certification at the end was a very nice reward. A big thank you to University of Michigan.
By Pieter Joan Van Voorst Vader•
Feb 13, 2019
Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.
Feb 11, 2019
Feb 09, 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
By Manik Sejwal•
Feb 08, 2019
Optional references to the inner workings should be provided. For example how Decision Trees are trained and how the best division is decided.
By Min Li•
Feb 06, 2019
A very good course to start journey on data science. Good combination of reading, lecture and practice.
Feb 03, 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!