Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

This the perfect course for beginners on Machine Learning even for those who have little or no programming experience. Best Course, easy explanation and best labs. Thanks for the the support.

This course gives you the basic of supervised learning and the math explanation behind supervised learning model. The math behind is quite complicated but Andrew Ng make it easy for everyone.

Very good course and walks you through every concept needed for Regression and Classification. Thank you Andrew for providing such a great course and looking forward to meeting you one day !

A very clear and well explained introduction to Machine Learning; Andrew's videos are very easy to follow, and he explains the concepts and the maths very well! I really enjoyed this course.

This course is excellent. The explanations of the topics are clear and presented in an easy-to-understand manner. It’s incredibly useful for building a strong foundation in machine learning.

The course is best to start with the fundamentals of Machine learning. The course mainly focuses on the theory part and it is the most missing in any other ML course available in the market.

Great introduction to Machine Learning. Realising that my math is rusty and need to perhaps take the deeplearning.ai math courses. Professor Ng makes materials relatively easy to understand.

The best course I have taken. it translates a complex subject, into something very simple, and what I like the most about this course is how this thing unfolds step by step, until the result

I really liked this course. I had been doing regression for good part of my career, but I had missed the terms / labels and was not able to communicate effectively. This has helped me a lot.

i really liked the course, but because i am a beginner i will understand more about machine learning especially cost function logistics. after that, i am going to complete the next 2 courses

Good intro to the underlying theory of regression/classification. I'd applied these techniques at a high level before, but I'd never learned how they're actually implemented under the hood.

I like the way jupyter notebooks are designed. It saves time on testing the code because it displays step by step what is happening and allows me to focus on the code logic implementation.

Amazing course explaining the math behind the most famous algorithm. Good explanation of the gradient descent.

Thank you to Andrew Ng and his team! A bit of math background is needed though

Sufficiently in-depth to grasp the basics and do a bit of coding. Would have preferred more coding practice within the module, but most people will probably find it difficult enough as is.

Love the way the course was organised , passionate teacher , amazing content 10/10 , though the assigment can be implemented in a more efficient way but overall it was too good of a course

Exceptionally well-constructed course material with excellent demonstrations. Definitely had a fabulous experience with the content. It was easy to understand but elegant. Enjoyed a lot!!!

Thats really an amazing course to start with for a machine learning career, the course was really easy to understand and explained everything with great detail in a simpler and easier way.

I really enjoyed taking this course. I absolutely loved the labs which were very helpful to test my understanding of the material I had just learned. Thank you to Coursera for this course!

Goes into the details of Logistic regression & Classification. The course is designed in a very simple and easy to understand format and Andrew sir is amazing all through out the sessions.

A well planned and systematic course to get you in touch with a class of Supervised Machine learning, the labs are quite useful and helps in better understanding of the topics along with.

Amazingly delivered course! Very impressed. A superb educator, Andrew Ng. Using simple to understand examples, he thoroughly described every topic covered in the course. Sir, many thanks.

I had a hesitation about the course being too simple or lacking the coding examples and experiences but I was wrong, and I am definitely going for the next course, keep up the good work!

Mr. Andrew is my favourite ML teacher ever i meet. Thanks for giving me the clear knowledge about the ML as well as the way of teaching.

At last thanks for helping me in my financial aid.

All you need is a good teacher before taking this course I thought machine learning is not my cup of tea . I am really glad I took this course best decision I have ever taken in my life.