Very clear, concise lectures and materials that were easy to follow. Enjoyed Professor Ng's enthusiasm and encouragment throughout the series. Most liked being able to watch videos and complete work on my own schedule, and also rewatch videos to understand better and take notes.

Great course! Provides a very good understanding on how some of the supervised learning algorithms work and makes you code a bit in Python to bind theory and practice together. Ng's explanations are very clear and I had a relevant increase on my knowledge after completing this.

This course is very well organized. It is online, you don't need to be at college to take it. You can take this incredible course anywhere and anytime. Take this opportunities and let your knowledge shine the world. I don't know how to thank the Coursera Initiative community.

This is Very useful for those who want to get started with Machine Learning.The course has a very well designed material with great videos, Quizes, Assignments and Practcice Labs.IU myself found it to be really useful and really helped me to get started with Machine Learning

Very well explained, give a great understanding of the theory. The optional labs are really useful in gaining understanding and developping intuition needed to optimize parameters, especially useful were the programs in the notebook graphically showing optimization progress.

Andrew Ng did a great job explaining machine learning. Lots of math is involved and he explained it in the most simple manner. If you have any experience with programming, the coding assignments are very easy especially as Python has a simpler syntax compared to C++ or Java.

This course is a great start for your Machine Learning journey.

I would say that you must have good knowledge of Python Programming as a prerequisite for this course.

Rest, the instructor is too good. He explains everything so well that you don't even need to learn anything.

Dr. Andrew Ng proves why he is the best!! The way he explains the topics is simply remarkable. Words do fell short if I have to say how great this course is. The labs, assignments etc.. improves your understanding of the topics and motivates you to implement something new!

A super friendly and pedagogical approach to learning the core concepts of Machine Learning, the syllabus is perfect for people that have some basic math and programming knowledge, and want to get into ML.

Andrew Ng is a superb teacher, one of the best online courses I did.

The course is very technical and hence gives importance to nitty gritty of the algorithms used. If you want to learn how the algorithm works and how and when shall we use feature selection or regularization for linear or logistic regression,then this is the course for you.

It was a really helpful course ,I've learned many useful concepts about supervised learning . practicing optional lab codes and Andrew NG's explanation was admirable, I'm going to enroll the next course in this specialization.

thank you COURSERA ,and thank you Andrew NG :).

An interesting and beneficial course. It is well instructed and managed and the concepts are explained well. My only criticism is that I would have liked it if we covered the deriving process fully when deriving the gradients for the multiple formulas. Highly recommended.

This course helped me learn all the basics of Machine Learning. It covers topics of linear regression and logistics regression. Course is well organized and has good quality. I am very satisfied with this course. I Hope I can start a new career in machine learning soon :)

Wonderful course for beginners as well as experienced coders. Structured perfectly with good pacing, simple assignments and interesting hands-on labs . It definitely gives us a deep understanding of the concepts needed to apply machine learning in real world situations.

The contents of the course and the practice labs are structured in a way that someone who is getting introduced to ML and with little/no programming knowledge can catchup and complete the course successfully with a lot of learning. Thanks to the entire team behind this.

It's a fantastic course taught by Andrew Ng. It progressed from the fundamentals to more complex discussions of logistic and linear regression. Quizzes and laboratory tasks were quite enjoyable for me. I thank Andrew Ng and his team for offering this excellent course.

Really helpful! Doesn't feel that difficult in the beginning, but slowly starts to become a little complicated. Dr. Andrew's teaching pace and style is amazing, really calming. I enjoyed this course, and hopefully will love the next 2 courses in the specialization too.

This course has been a great learning experience and I am grateful for the opportunity to expand my knowledge in this field. With this course, I feel confident in my ability to develop, implement and evaluate effective machine learning models for various applications.

The finest quality material and learning experience I've experienced in a learning platform. Professor Ng is able to deliver key concept with outstanding clarity and conciseness, keeping the lessons engaging with with videos that are short, sweet and to the point.

I just can't thank enough Andrew sir and Coursera for making such a wholesome course .

I was trying to learn machine learning from the past few months but the information was scattered and I became directionless.

This course is the best thing happened to me in year

In addition to the evident technical mastery, you can really notice the excellent pedagogical quality of this curse. Definitely one of the best online curses I've ever taken. The resources provided and the organization of the jupyter notebooks is incredible. 10/10

Good content for learning the basics, but does not go beyond very simple math. Only two models were introduced here: linear and logistic regression/classification.

Has a very brief introduction to scikit-learn but again doesn't go to any depth beyond two lab files.

Brilliant course. Accessible for anyone who can code in Python and do high-school algebra math (yet it goes deep into the heart of the math for us nerds), and leaves you surprised as to how much you actually learned when you look back. No small feat by any means!

Profs explanations were great and I only had to do a bit of my own learning to get a better grasp of numpy. My only recommendation is if you are applying for financial aid, do not start the course until you get approved. You cannot do any labs or submit quizzes.

All theories,details are explained completely simple ways. After watching all videos, I could understand given concepts and implement them on practical labs. Great thanks to all instructors and also cousera that provide me financial aid to complete this course.