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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 buen铆sima la calidad did谩ctica. Ser铆a genial poder descargar TODAS las filminas de las presentaciones o que haya un PDF que acompa帽e 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.

This course is very insightful and Andrew Ng is good at explaining the intuition behind mathematical equations. This course made me fall in love with Maths, Calculus and Algebra. It's a very valuable course.

It is amazing how complex concepts and equations were taught in very simple and pertinent ways, stating at every step which understandings were essential and which weren't, etc. Overall, an excellent course.

Detailed explanations were excellent. I was able to follow them and get an true understanding of some very powerful ML techniques. Quizzes were just right. Code examples and assignments were very well done.

Great course for complete beginners. I would recommend something different for people with technical backgrounds though - this one is too simple (although I do understand that it is not a bug, but a feature)

It was a great learning experience! Thanks to Dr. Ng and to everyone who contributed to creating this wonderful course. The content was very accessiable and made learning such a complex subject, quite easy.

I think the course should have videos about coding. This course required a strong foundation in coding. Without prior knowledge of coding, it would have been challenging to successfully complete the course.

The course is really great regarding the theory the implementation part can be more focused on using an existing library such as scikit-learn but overall is was really informative and a 5/5 worth it course.

Excellent! Professor Andrew is one of the best professors I have ever seen in the field. He explains in a simple way a lot of complicated maths and statistics concepts, even for non-native English speakers.

This course builds the fundamentals of Linear and Logistic Regression in a Machine learning enthusiastic student. It gives a great theoretical and practical implementation of Linear and Logistic Regression.

I have no prior knowledge in programming and had basic math skills. Even though it went a bit slower then projected, I could still manage to complete this course and understand the core concepts. Thank you!

One of the best online courses I have ever taken! Excellent real world examples and clear + logical explanation of concepts in a tangible way. 5 stars - would recommend to everyone interested in the topic.

Andrew Ng is a superb educator, he takes you gently throught the ML basics with strong intuitive reasoning where the math could be hairy for some. This balance is fine and Ng is a master in this fine art!

Simple and practical, the course teaches the basic tools of machine learning, logistic and linear regression. It also touches on feature scaling, under- and overfitting, regularization and gradient descent

First of all thank you for possibility to study this course.

Material is presented in a clear and understandable way.

The examples presented are clear.

Liked the interactive possibilities of laboratory work.

Excellent topics, coverage, and repetition throughout the course to make it seamless and intuitive learning experience. Thanks to professor Andrew Ng for perfecting this course for millions of learners WW

Very Great Experience, learning all the basic concepts. Kudos to the instructors , who make every concept easy to learn and understand. Used proper examples and visualizations for better grasp of concept.

Best course for beginners. Andrew Ng is an amazing instructor and I am looking forward to start to his other courses. However, even though I definitely learned a lot, I wish this course was a bit harder.

I highly enjoyed the course .special thanks to Andrew for clear and simple teaching during the course. this course pushed me one step closer to the goal. Definitely I will enroll in 2 next course of this