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ience of machine learning using python. Very well explained algorithms and application through modules and assignments.

Best Course if you are searching for the applied side of Machine learning and Assignment are very helpfull to make mucssle memory

excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better

Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.

Everybody has different skill levels, but this was really hard and really, really, really fast.

Did I say it was really fast?

Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.

Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.

Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though

A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.

Overall it was a great experience.

I think the instructor should've adapted a better technique to teach more proficiently

Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning

This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.

Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!

You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.

A few more code examples would have helped better understand various packages provided by Python and how to use them

Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!

It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!

Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.

Very good curriculum with a hands on project. However thera are some limitations with the platform with grading

Complete course on supervised learning

Would be nice to cover PCA and unsupervised learning in the assignments

the final assignment was too hard compared to the other assignments and the contens given in the last module

A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.

course is very informative with hands on details, assignments and quizzes are very useful for assessment

Nice there could just be a bit more of a case study to see the difference and decision ways in practices

great course but could be improved with a better explaining of the class on board for abstract concepts.