Ratings and Reviews for Applied Machine Learning in Python

Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.

The course is well structured and covers all the most important topics. The programming assignment could be a bit more stimulating. Overall I'd recommend this course to everyone who's interested in ML.

nice lecture series, Good Approach .

Nice course. Multiple choice quizzes could have been worded a bit better.

Very good course, for people who want to apply Machine Learning without worrying too much about the theoretical aspects of it.

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

very good

This is a great course I learned a lot, especially it familiarize me with the SKlearn toolkit which is very very handy. I notice that the SKlearn documentation contains a good figure which shows a rule of thumb which learner to use. I recommend you to include in course reading, because some students might find it very useful. http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html

Two point: 1) you can learn a lot here, 2) imagine you are shown a hammer but never explained how to hit a nail. Two previous courses in the specialization do both.

Excellent course that really drives you hard to acquire hands on experience on the field.