Ratings and Reviews for Applied Machine Learning in Python

100% Free course as audit, recommend

The evaluation is sometimes problematic, otherwise is very good. I had a problem with matplotlib which was just imported and nowhere was written to remove it.

So far the course is relevant and very approachable.

Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.

Nice course with an good level. I really leant a lot from this course!

excellent course for following reasons: 1. Excellent i python note books. What ever a student must know is kept in it. 2. every topic is explained simply and well upto what ever we need to know. 3. if you are not in academic field(not planning to do phd on this stuff). Trust me how ever advanced courses you do but after a week or month. these are the points which one need to remember. 4. Course and programming labs are in perfect sync. Thank you very much for keeping this course

Interesting course, was curious about what all things will be covered in this course. It touches most of the topics that one should be aware of ML. Only thing that I felt bit overwhelming was the amount of material which was covered in 4 weeks. Could easily be stretched to 5/6 to make it less demanding for a novice person.

Excellent course! Learned a lot both about the concepts and how to apply the methods using scikit-learn. Very good job!

I appreciate so much this course even it was so dense and slitly short. It would be useful to extend it over several weeks again.

Automatic assignment grader has room for improvement. Some python code that works perfectly well when run locally or on the course web page would crash when run by autograder.