Your browser is ancient!
Upgrade to a different browser to experience this site.

Ratings and Reviews for Applied Machine Learning in Python

Back to course Page

Reviews and Ratings

4.6

7655 Ratings from Coursera

Reviews

A course not in depth analysing the facts but give some very useful intuition
Great course with the first three assignments being relatively easier and straightforward compared to the first two courses. The fourth assignment required more individual studying and comprehensive understanding of all course materials in building and evaluating prediction models. Having finished this course, I feel much more confident in my ability to work with machine learning algorithms with sklearn and panda libraries.
great and thanks
Learned a lot, excellent content
Muy buen curso, bastante duro, pero muy gratificante
It is decent course with fair level of complexity
Excellent course. Some of the functions used in the course are outdated and not working anymore.
very interesting course
I felt like each standalone topic was explained okay, but I didn't get a good big picture understanding at the end. There wasn't a good wrap up to explain holistically how to choose one classification method over another. There are also just too many mistakes in the lecturer speaking as well as in the slide. For an online class I would expect that Coursera would redo the video or at least the slides as they interfere with learning. I felt that the lecturer belabored easy points, like calculating precision and recall by hand but then didn't explain other topics regarding the classification methods well. I did not find the graphic visualizations in his slides helpful in explaining hyperbolic tangent functions.
very well details of concept and learning

Michigan Online
For You

Sign up for a Michigan Online account to customize your experience!