Sep 09, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
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 13, 2017
Very good machine learning course working on python with little mathematics.
by Dongliang Z•
Dec 22, 2017
Very good lecture for beginner:easy to understand.
Also good assignment: force you to use what you learned in the course.
The discussion forum is helpful when you meet difficulties in assignments and quiz.
by Peter D•
Nov 06, 2017
Nice pragmatic approach how to apply machine learning. Compelling examples, datasets and useful tips how to visualise features.
by Fabio C•
Jun 22, 2017
The course is well done and both the lectures and the practical assignments have generally a high quality. If you come from a theoretical background, be aware that this is a very "high level" course, meaning that a lot of attention is put on the practical application of the different ML methods (using the sci-kit learn library in python), but very little is said about their mathematical foundations.
by Dylan E•
May 03, 2018
I enjoyed this course it was fun and very informative. This course also gave me a bunch of resources such as The Elements of Statistical Learning which is a great book!
by Arun S•
Nov 09, 2017
Great professor with lot of real world experience.
by Sridhar I•
Dec 21, 2017
A great crash course in some of the basics of machine learning on Python. Although not explicitly covered, the assignments helped me gain an understanding on the Jupyter framework & pandas.
The final assignment was definitely a cherry on top that let me gain a very vivid insight into the field.
by Marcin C•
Apr 29, 2018
Heavy, but extremely valuable course
by Ali A•
Mar 22, 2018
by Jiangming Y•
Mar 04, 2018
This is an excellent course, from which I have learnt a lot about machine learning with Python.
by Matias B M•
Aug 15, 2017
Challenging and rewarding. Wouldn't have it any other way.
by Christos G•
Sep 01, 2017
Following the first 2 sessions of this specialisation, this one seems easy and gives the student a lot of confidence. Make sure you follow the sequence suggested in this specialization, even if you do not plan to continue with Text Mining and Social Networks.
by Vladimír L•
Jan 18, 2018
great course with a high value added
by Biju S•
Oct 12, 2017
Very tough to finish. Big gap with material and assignments
by Nathan R•
Oct 17, 2017
Excellent course. A practical application of the concepts in Python/sklean.
by Evgeny V•
Apr 04, 2018
Sep 27, 2017
A course that gives not only solid understanding of Machine Learning, but provides with skills to actually practice it on real world datasets. Highly recommended.
by Joan P•
Nov 05, 2017
Very interesting last programming assignment
by Steven L•
Apr 08, 2018
Very practical introduction to using Python for machine learning - less focused on theory and more focused on how to use the sklearn library and proper use cases for different classifiers and regressors.
by Krishna D•
Dec 09, 2017
Excellent Course. Well presented and good organized python notebooks, quiz and assignments.
Enjoyed the project very much.
Looking forward for future classes
by Michael D•
Jul 19, 2017
I thought this was a fascinating course that tried to do the near impossible and succinctly summarise the key techniques of machine learning. And it did that very well. Very challenging tasks, but also overall inspiring for the next step.
by Srinivas B•
Mar 25, 2018
Its almost great, just short of 5 star rating! Liked the hands-on examples more
by Guido L•
Feb 08, 2018
Very good, comprehensive course!
by Tongsu P•
Feb 08, 2018
Really challenging course!
by Madalina-Mihaela B•
Jul 18, 2017
Awesome course. Very practical!