Great content and very well taught by the instructor. However I believe that video sessions for the programming labs could would have helped me better as it was sometimes difficult to understand the role of "function" of used libraries.

I was hoping for a slight mathematical understanding about the regression and classification in machine learning before enrolling for this course and today I am glad that I did enrolled. Amazing explanation and informative lab sessions.

Better than the original due to the interactive Jupyter notebooks written in modern Python, than the Octave environment on the previous versions of the materials. And as before, Professor Andrew Ng is an amazing and engaging instructor.

Amazing course to learn regression and classification in Machine Learning by Prof. Andrew Ng. Anyone enrollling in the course will appreciate the efforts made in designing the course. Each and every concept taught here is very helpful.

Great course, gives you a deep understanding of how linear, multi-linear, polynomial, and logistic regressions work. I just wish we got more examples and assigments using scikit-learn, instead of "building from scratch" the functions.

Very nice and well guided experience in this course. Thank you, Professor Andrew, for all your knowledge and help shared. Also loved the jokes and puns during the videos and that the codes and calculations were explicit. It helps A LOT

I took this course several years ago, and it played a significant role in establishing my foundational understanding of general machine learning concepts. It is impressive to see that the course has been consistently updated over time.

An excellent course, rich in content and learning. Andrew Ng has taught everything in a simple and effective way. Good learning experience. I would recommend it to everyone who want to learn ML from scratch without any prior knowledge.

Es, probablemente, el mejor curso que he realizado sobre Machine Learning.

Introduce de una manera muy sencilla conceptos centrales de la disciplina.

Mr Andrew Ng es un gran profesor, realmente he disfrutado mucho de esta experiencia.

Supervised ML: Regression and Classification on Coursera was excellent. The course content was clear, and the practical examples made complex concepts easy to understand. Andrew Ng’s teaching style is outstanding. Highly recommended!"

The explanations in this course are very good and I really managed to understand everything, which I think is remarkable by a topic like machine learning that is at least perceived to be very complicated. Thanks for this great course!

I really appreciate the course instuctor and tutors for putting such efforts to simplify the concepts and algorithems to even understant the non background studnets in Machine Learning. I thank everyone who is part of DeepLearning.AI.

Everything in the course is so perfectly designed. Andrew Ng is so good at teaching. Much respect to him and his work. Start to end everything was explained perfectly in depth. Now I know where to go for AI and ML courses. Thank you.

amazing course. there was everything one can know about linear as well as logistic regression in this course. amazig way to prepare yourself for industrial standards of research work. Thank you everyone who made this course possible.

Thank you Andrew and the team, great course, super clear, well structured, perfect labs. I'm not into ML at all however I am a developer, and I have math background (well, I had, 25 yrs ago). Was very interesting, I got all concepts.

Andrew's focus on imparting the intuition and going through some of the math has been a significant step forward for me. This is not my first online course but the most remarkable given the focus on some of the math/theory/intuition.

This course is really really helpful as I learnt the basics of Machine Learning in much easy way and practicing the algorithm by my own. and Now Looking forward to learn something more interesting from the one and only Sir Andrew NJ.

Andrew is such as great teacher. I've taken a few different machine learning courses but never had one explained this clear for some of the fundamental theory and math behind it while also go as deep as this course at the same time.

The course was fantastic. Cleared all my doubts about Machine Learning implementation. Now I stand much confident regarding the concepts and coding exercises, including the inner workings of any classification or regression problems.

This will surely help me in near future to create and develop many more such models. Coursera is a well-known and reputable online learning platform that offers a wide range of machine learning courses taught by experts in the field.

very glad to see a lot of programming examples in Python from the course, which is really helpful for learners like me who is new to Python and speeds up learning ML and at same time learning programming in Python. I love the course.

Well-designed course and the concepts are to the point. The instructor was very knowledgeable. Most important of all, the instructor is encouraging. The sample codes are very helpful. However, the content is very short, only 3 weeks.

Really good course design! Andrew Ng gradually builds intuition, follows up by the mathematical details and shows practical tipps for applying the concepts to your own use cases. An absolute pleasure to learn about machine learning!

Having taken a similar statistics course at university, I found the course quite easy to understand from a conceptual point of view. The real benefit came with seeing the first principles implementations of these concepts in python.

A great update to an already brilliant course. This is where all aspiring data scientists need to start. Even practitioners will gain something from using this course to revise concepts forgotten due to the use of pre-made packages.