I liked this course, very didactic and with many practical labs where you can experiment and understand all the math behind the ML models, and also learn all the basic programming to implement them using Python.

In the world of today when most people are pursuing courses for an embellishment of their CV, this course shows that the best minds are those which focus only on learning without worrying about the consequences.

I feel really happy and lucky to learn from Professor Andrew Ng. I love how he teaches, it's like watching an interesting movie. Now, I'm excited to start the next course in the Machine Learning specialization.

I was a receiver of financial aid for this course and it's a brilliant course to get started in the field of machine learning. Everything is superbly articulated and that makes the study simple and hassle free.

just a really well paced, non bloated curriculum, for what is an extremely hard subject. I had to do everything twice to really get there, especially with the code, but this of course is not unusual in learning

Very well designed. I am glad that I joined this course. Video embeded questions and quizzes really helped in clearing the concepts.

Lab practices were an added bonus to pace up our learning.

Thank you Andrew Ng

This course has opened up a larger world of knowledge for me and has deepened my dedication to the field. I can't express how excited and thrilled I am after completing it, my enthusiasm has truly skyrocketed!

This is the best supervised machine learning course I have taken, and I have taken a few. Andrew Ng provides not only clear explanations of the algorithms but also provides valuable insight into why they work.

i love everything about this course I cannot recommend this course highly enough! From the well-structured lectures to the engaging discussions, every aspect of the course exceeded my expectations. thank you !

Excelente curso. El material es básico, apto para principiantes. Las lecciones son intuitivas y fáciles de seguir. Los laboratorios opcionales permiten revisar detalles de la codificación de los algoritmos.

The course was amazing. Andrew Ng is my most favourite instructor at online platform and I really enjoyed the course. This course has boosted my confidence and thrill to enhance my career in machine learning.

Lectures are very well made. Support material (jupyer notebooks) is excellent. Awesome course. Great way to brush up on the basics and its also nice to hear Andrew's enthusiasm and passion for machine learning

This course is next level gives all the intution about machine learning algorithms including linear and logistic regression and also go throug one of the most popular machine learning library named Scikitlearn

Fantastic course for anyone who is new to ML. To make the most of the course you will have to spend some time studying the math concepts introduced in the course and by practicing Python code on your machine.

The course is so great that I finish it with little effort, but if the course can publish materials like pdf and notes, things will be better. I also wish that the captions can be revised to be more accurate.

Clear and approaches from the mathematical point of view, which allowed me to better understand, rather than approaching from the ML point of view, which includes its set of unique and often confusing terms.

Quizzes could be harder, but I really enjoyed how the course teaches you the underlying mathematical aspects of each discussed model and showing why it works instead of simply plugging a data into a blackbox

Loved this course! I took the original course like an age ago, and now this one as a refresher. The content is great, Andrew NG is an awesome instructor, and the quizzes, assignments and labs are just right.

Great. For me, this course was a personal milestone, where I was able to understand the mathematical roots of machine learning and at the same time its implementation without necessarily decorating libraries.

Loved the way AndrewNG sir explained every concept and the underlying Maths behind all the ML algorithms. Probably a bit more emphasis could be there on scikit-learn but still the course content was awesome.

Although this course was a bit slow, the concepts are explained with a lot of effort. If done properly, you can build a very good intuition about the basic learning algorithms in supervised machine learning.

I love the fact how Andrew buildings the confidence slowly in coding and the instruction material, optional labs and final exam are top notch. Glad I stuck with it and completed the course. Learned a ton!

Realmente muy detallado. Bien explicado, claro y buenísima la calidad didáctica. Sería genial poder descargar TODAS las filminas de las presentaciones o que haya un PDF que acompañe los contenidos del curso.

Awesome course, very happy with the contents. Would like to thank the course instructor Andrew for he explains the complex concepts in so easy and digestible format that everyone can understand it in one go.

Hands off the best supervised machine learning course out there! I have learned substantially when it comes to the algorithms and optimization techniques used for both regression and classification problems.