Thank you, Andrew. I was sceptical about learning ML but now I am hungry for more. Thank you for the well detailed explanation, I wish i could give you a 10 star :)

way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

It was a course that built a strong foundation for me on the subject. The instructors made learning much easier by explaining each topic in a simple and clear way.

This was a great course. Andrew Sir explains each concept very clearly and in an easy-to-understand way. I’m glad I chose this as my first Machine Learning course.

I really liked the course. The topics were taught in detail. The "WHY" was clear. Also, practice labs helped me understand the implementation very well. Thanks!!!

Thank You Andrew for giving a digestible way to understand machine learning concepts as well as proper implementation. I'm truly thankful to have found this course

I was fairly new to these concepts and quite frankly these topics were overwhelming. Now i Understand the workings a bit my fear of AI takeover has been validated.

Really good course to start learning ML. Can complete with minimal coding knowledge. Plenty of optional labs available if you want to fully explore every scenario.

This course was very good for me because of Andrew ng . He is a very good teacher with a good experience of teaching . so , Thanks Andrew , Thanks Deep Learning AI

Wonderful course. Great insights. Perfect explanations. I enjoyed every minute of it. I am eager to move on the next courses under Machine Learning Specialization.

Great course that teaches you all the basics of regression and classification. I feel like I really understand the material and can put the content into practice.

The course is very well designed, engaging and chunked into good enough portions which you can read through. It is a very well-defined course to start learning ML

While it helped to do the Mathematics for ML & Data Science specialization in advance, this was extremely clear and concise introduction to the foundations of ML.

Andrew did full justice to this course. I will stick to his suggestions for building ML models. It would have been great if some small projects were included too.

the final laboratory exam was not easy, perhaps a bit of extra clarity would be helpful especially where code examples are set in place and specifics are expected

Excelent way to get in touch with theory of how IA works (very begining).

A Little bit hard for non-engineers, but with a little extra effort, you can achieve it!!

Andrew is amazing! He's explaining hard things to understand the most available way I've ever known. A big plus is also the coding tasks, very good for beginners.

I can clearly say it is one of the best machine learning course in whole world . It covers all core concepts from scratch and I love teaching style of Andrew Sir.

I learned a lot about machine learning, and I understood and applied a lot of principles and theories, I benefited a lot. This course was useful and fun to learn.

A very well designed and organized course. It helped me a lot to learn the basics of Machine Learning. I am thankful to Mr. Andrew and his team for their effort.

It was a fun course presented in a simple way that anyone could understand the algorithms behind Regression, Classification, Gradient descent, and regularization.

Great, Andrew never fails in surprising me.

just keep in mind that you have to understand how the Algorithms are implemented, and everything will be more than fine

I never thought a course could be so easy to follow along and not get bored. I learned more than I could've imagined from an online course and I am very pleased

The Dr who gives this course is more than amazing i've learned a lot of things and i will recommend this course to the people who is excited in machine learning.

It's beautiful course , it covers each and every topics in detailed but it can be much better it provide detailed proof or derivation of each algorithm.

Thank you