Ratings and Reviews for Applied Machine Learning in Python

Needed a better retrospect on final/week 4 assignment

Need more information about more algorithms

This course is very cool and interesting. One thing, it would be more useful for me to have a little test/exercise after or in the middle of every video - to try, how I understood the material. Like in Andrew NG course or in Text Mining. Anyway, thanks for a great course and your work!

Compared to previous two courses in this specialization, this course need more time for self-learning.

Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking

Thank you!

I enjoyed this course it was fun and very informative. This course also gave me a bunch of resources such as The Elements of Statistical Learning which is a great book!

An ambitious but systematic overview of a wide range of machine learning techniques using scikit-learn and other Python libraries. Prof. Collins-Thompson is a steady and clear explainer of somewhat complex topics. The exercises and quizzes can be challenging, but are very worthwhile. Overall, very well done.

Awesome theory about machine learning concepts.

this course may be the most challenging one I have ever met, those concepts and examples I have never thought would met in my life. but after intense learning and excellent course arrangement, I may get a little sense of machine learning now. Thanks for the great job, dear applied machine learning in Python team!