It is pretty good yet i wished if they made the optional labs not optional and concetrate at code live implementation, Anyways thank you NG for sharing

It was a bit too easy. I would have preferred more practical insights into the coding of these algorithms, as well as the theory behind the algorithms

thank you for this great course

in practice lab you do 30% from code and this is noot good you need to do 70% from code and they only 2 practice lab

Very nice explanations. Even for people that already had machine learning as course I filled a lot of small gaps in my understanding and knowledge.

Could use a bit more rigor in the assignments, but I appreciate the entry-level nature of it. Making ML accessible for most (realisticaly, not all)

I think it was a really good beginner course, but frankly, a bit slow at times (maybe a bit more could be added to really make it 3 weeks of work?)

Andrew's explanations were clear. I wish the course had a project or a homework assignment at the end of each week to have more hands-on practice.

This Course will would become more and more intresting and best if with concept explaining and CODE explanations of optional lab both will happen.

It was really good course.

but I preferred if it has more challenge to implement all the programs by ourselves and teach more about the codes.

Excellent course. I had a bit technical difficulties with the notebooks. Error tracking is not as easy as in the system I ussually work with.

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.