OA
8. Sep. 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
FL
13. Okt. 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!!
von GC
•31. März 2021
This course is useful, but the code is not updated, and the assignment and Module codes returned a lot of code deprecation warnings.
von Prathmesh D
•15. Juli 2020
It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you
von PRATIKKUMAR A P
•23. Aug. 2020
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ience of machine learning using python. Very well explained algorithms and application through modules and assignments.
von Muhammad I
•27. Aug. 2021
Best Course if you are searching for the applied side of Machine learning and Assignment are very helpfull to make mucssle memory
von MARCO S M H
•7. Feb. 2021
excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better
von Dr. P R K
•23. Jan. 2018
Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.
von Michael S
•29. Juni 2019
Everybody has different skill levels, but this was really hard and really, really, really fast.
Did I say it was really fast?
von New_diver N
•22. Mai 2019
Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
von bob n
•31. Aug. 2020
Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
von BHAGYASHREE B
•9. Mai 2020
Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
von Mohamed S
•26. März 2020
A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
von Amaira Z
•12. Jan. 2021
Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
von Ekun K
•16. Juli 2020
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
von Wynona R N
•23. Juni 2020
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
von Amanda V
•2. Juni 2018
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
von Rohith S
•16. Nov. 2017
A few more code examples would have helped better understand various packages provided by Python and how to use them
von lcy9086
•2. Feb. 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
von Alexandr S
•24. Feb. 2019
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
von Bharat G
•30. Aug. 2017
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
von Alpan A
•27. Nov. 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
von Amine T
•21. Juni 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
von Andres V
•16. Okt. 2020
the final assignment was too hard compared to the other assignments and the contens given in the last module
von CMC
•9. Feb. 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
von divya p
•4. Sep. 2020
course is very informative with hands on details, assignments and quizzes are very useful for assessment
von Maxim P
•15. Sep. 2018
Nice there could just be a bit more of a case study to see the difference and decision ways in practices