Great teaching

Would have been better if arrays and vector operations in python are touched upon.

May be an option course to understand python arrays and vectors which are used in ML

Very good if you are new to machine learning. Highly recommended if you know nothing about the subject. However I would have like it more if projects were more engaging/challenging.

I learned many things in this course in which I am happy about it. I am just a bit concerned about getting the certificate since I can only get it after finishing the free trial.

A very good start for machine learning journey. The optional labs were the main thing. Moreover we've to focus on self learning in this course. Especially for the libraries used.

Well taught, very beginer friendly. In my oppinion could have gone into more detail on some of the maths derivations for those who were interested as additional optional lessons.

All the fundamentals of ML are very clearly taught my the great Andrew NG & implemented in python in a algorithmic fasion to accomplish ML Operations & also to visualise them.

This was an excellent course that I would recommend to anyone. The only thing lacking is better dissection of the algorithms to their code equivalent within the optional labs.

It was an amazing course by an amazing instructor, but i wished if there was a full project that the instructor explain it step by step and how to apply the algorithm in it.

Theory Lectures were amazing! But, there are only 2 practice Labs. More variety of practice Labs should be included in this course. Other than that, everything was perfect!!

good great for beginners its theory part more code in labs some suggestion done with any project seperately in this course take into more action for beginners and thank you

I AM GLAD TO TAKE THIS COURSE, AND IT CLEARS ALL MY FUNDAMENTAL DOUBTS REGARDING SUPERVISED LEARNING AND PROVIDES ME WITH IN-DEPTH KNOWLEDGE OF CORE CONCEPTS IN THE TOPICS.

Felt a little hand-holded. Good for beginners, and I definitely learnt a lot, but not an alternative to writing code and doing projects/competition on Kaggle by oneself.

Great course in Machine Learning for begineers, still required more details and topics which are required to be known for a begineer to get the solid understanding in ML

La explicación detallada y los subtítulos en japonés fueron útiles. Para las partes incorrectas de la tarea, me gustaría tener una explicación, no solo una incorrecta.

It was a good pleasure to learn algorithms from Sir Andrew Ng and stanford University. The Content in the course was very Easy and the concept were made crystal clear.

Andrew ng teaching was excellent. In my opinion, it is better if the exercises are harder and the number of topics covered in each section is Increased. thanks a lot

Good explanation of concepts. Assignments were straightforward for someone with modest Python experience. This first fragmetn of the original ML course felt short.

very beneficial course i learned a LOT from it but i wish that there were videos to explain the the implementation side of the algorithms and equations in python

The content and explanation are amazing. I'd like to see fully vectorized implementations with matrices rather than for loops. That's why I rate it with 4 stars

This course is great if you have a basic understanding of ml topics and want to go deeper into the theory or even if you want to know what actually is going on.

The course material was outstanding; however, I found assignments not challenging enough. I was literally tasked to add a few lines of code to an existing code.

Great course! Understood all the concepts and the fundamentals of ML but the lab sessions are a bit difficult to comprehend if you do not know python language.

Very informative and well taught course. Only reduction in stars is due to the quizes being too easy and not accurately testing your knowledge of the subject.

Very well organized. Gave me plenty to think about. A few questions in the beginning were a bit rough (correct answer was not necessarily the correct answer)

The lectures were very good, but the labs can be more beginner friendly,and coded in such a way so that one doesn't only depend on hints to complete the labs