Ratings and Reviews for Applied Machine Learning in Python

I've never learned this much in 4 weeks. I studied more than 4 hours a day to keep up with so much new information. Videos are great and professor Collins-Thomson does an amazing job teaching these courses. Althogh assignments are extremely hard and a little unbalanced, I belive this is one the best courses I've ever had. thank you so much.

Classes and exercise are really good, but the assignement is really terrible

A lot of the course has much to improve.

Great introduction to machine learning and very applied approach due to the assignments thematic

one of the best course i have seen in internet.beside being very comprehensive,the contents and all of the quiz are designed and presented very clear and deliberated.thanky you

I liked the material, learning about lot of topics in machine learning. Not in depth, but that is fine. The negative sides: - Old Python and scikit-learn versions. This made it some times annoying to work with assignments, that I couldn't use later features and had to refer to old documentation. - The videos were "dry". There are lot of videos in a row without any interactive tasks inbetween. This made it more difficult to focus for me, compared to other courses.

A good start for someone who wants to learn machine learning in python, for example the commands etc. As for the overall machine learning in theory, I does not recommend this course because everything is explained very briefly. For me it was a great experience to finally learn to use python not only in machine learning but in data processing. I really enjoy the final assignment because I love exploring and processing the data.

Excellent

Very thorough and very fast, very self-directed, but with great resources. If you do the work you will definitely learn!

The course does a job on giving an overview of how each machine learning algorithm works without having to go deep into details. Instead of mathematical destials, the course places emaphasis on how machine learning is applied to solve problems and some practical consideration. I took machine learning courses during my master but I found this course a great complement on what I have learned.