Ratings and Reviews for Applied Machine Learning in Python

To fast paced.

I thought this was a very good course in Machine Learning using Python. I took Andrew Ng's Machine Learning course before this one, which I would highly recommend! I enjoyed this course because it taught me about scikit-learn, which I plan to use in my career. I also purchased the recommended textbook "Introduction to Machine Learning with Python" from O'Reilly, which I found to be a very useful reference.

Most complete Machine learning course ever.

Awesome !!!

It gives you the methods and the essential knowledge to build a learning pipeline using Python and SciKit-learn tools.

Good course, content and teaching. Very good weekly assignments allow students to well consolidate course contents on real world practices.

It's alright as a course focusing on applied techniques. If you are expecting more theories and understanding of the algorithms, this one may not for you

Very informative & highly useful.

The course is very well-designed, with the first three weeks learning basic know-hows of all the tools we need, and the fourth week make full use of every model we've learned. Even people with no prior CS background can get along well enough. Getting 100/100 out of the final problem is actually a passing grade, very easy if you use what you've learned so far the right way. When you're willing to spend more time exploring the models, methods and parameters, the reward will be worth your efforts.

The teacher's voice is not motivating, it made me fall asleep all the time. But content is surely good. It's a perfect checkpoint after Andrew Ng's machine learning courses, by making experimental practices over theoric practices. Seriously, speaker needs to speak more alive! I don't want to hear deep breathe noises when watching a course :)