Ratings and Reviews for Applied Machine Learning in Python

G

One of the best practical ML courses in the field!

easily the most difficult course in the specialization (so far). learned a lot! Still, the course matter could've been made more clear in some areas of the assignments. Also, the time estimates are way low. Plan to spend 10 hours a week reviewing scikit learn documentation at a bare minimum. I spent over 12-15 hours a week on this course. I STRONGLY recommend if you're looking to get into machine learning.

Brief but in-depth introduction to many modeling methods and using them in python. It provides a great foundation for the rest of the courses in this specialization, but I wish other courses would be developed in collaboration with this intro course, rather than a series of independently designed courses.

Good, despite some confusions in the lecture and quiz.

The course was very well prepared and the instructor presented the material clearly and informatively. I've seen some courses where you spend more time trying to understand and keep up with the instructor. In this instance, this was not the case and you could spend more time understanding the material. The instructor spoke slowly and clearly. I do have to say I purchased the corresponding book as recommended but I didn't feel it was necessary. Good book, I just think the material in the course was presented well enough on its own.

Good overview of methods. A bit too intense at times though, may have been better to really focus on a couple of key concepts.

Good course and prof. The exam and exercise in very interesting according to what I learn in following all videos, with this i improved my level in python progamming, I recommended.

very Good practice

Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market