use scikit library as mandatory not optional. add lab that use the functions immediately not need to edit them. or use predict immediately.

I would like to suggest to add lectures and explianations on importing libiraries and scripiting alos to amkemit more robust and independent

Everything it very well taught. In practice labs instead of utils another library should be used as it cannot run apart from their notebook

Very nice course, more detailed explanation on every process of supervised learning. Thanks to Anderw NG and his team and Deeplearning.ai

Very Beginner Friendly, Love the Approach of making the ML Models easy to understand without having hard emphasis on Mathematical skills

I really like the pace and the math considerations. I think they can be deeper also. I would have like more scikitlearn implementation.

course is very good, but doesnt make me very envolved in practical work, may be some search and assignments or problems will be better

It's prefect but although the programming assignments are optional, they are a bit not easy and the final assignemts is not easy also.

If the course was more programming-oriented it would be better. All in all the course was really helpful and very easy to understand.

I highly recommended this course. The only downside aspect here was some unclear suggestions in the code of the last lab assignment.

A decent intro into some of the core ML techniques that are out there and how to use them. Really enjoyed the pace of the lecturer.

There should be some way to download formatted notes of key points from the lectures, and to download the submitted quiz content.

Very Clear and concise teaching of concepts. Good Effort! Thanks to Andrew and the team behind this course. will sign up for more

It's a great course I loved the videos

maths behind the algorithms are explend flowlessly

I wish it focused on practice bit more

Deberían agregar subtítulos en español para abarcar más personas.

They should add subtitles in Spanish to cover more people.

The lab classes could also be thought as a compulsory part of the course ,otherwise a really good and a recommendable course.

It was fantastic! Andrew is a very good instructor. He made most of the concepts crystal clear while explaining the ideas.

it would be much better if the labs were also explained a bit because there were a lot of things that were quite unseen.

I would like it more if problems like K-means clustering and SVMs were also discussed in the lectures and/or labs.

Excellent teaching and high quality learning materials. The jump between theory and practical was a little steep

ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate

Some more practical examples can be included but the course material and topics and ecplaination were great.

Every concept was explained in a very easy and interesting way. Really liked the course and way of teaching.

I actually got the right course at right time and thank you to coursera for providing the course. Hats Off!!

Real life dataset use would have been more helpful.

Also, use of scikit-learn could have been explored more.