While I think this course is fantastic I really wish there was some place you cuold ask questions or engage in discussion. If I missed that then my apologies. Overall absolutely worth the time though.

Andrew ng is just fabulous!! however the optional labs must be worked upon since all those complex programming syntax and terms are pretty overwhelming especially if you are beginner to machine learning

I learned a lot in this part and would like to continue further but one point that I would like to raise is that it would be better if you can tell us about the in general function that are used in ML

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

The course was amazing and was very fun to learn with Andrew. The only thing which bothered me was that the audio quality can much more optimised. Though it was the great experience as a beginner.

Content of the course is useful to understand all the important things about linear and logistic regression, like all theoretical concepts. Some codding video's needed to understand coding part.

I think some additional tutorial sessions explaining python code would have made the course even better . also concepts of vectorized logistic regression could have been covered in more detail.

By far the best course available on internet. It would have been a perfect 5 star if the jupyter notes didnt had functions imported from some other files, rather defined in the same notebook.

Very accessible, maybe too accessible. Lectures are good, but assignments are not challenging at all. This makes it harder to learn. More of a guided tour of basic methods than anything else.

Simple and enjoyable learning experience, the only problem was that the content was too scattered without summarizing the lessons, which resulted in me not being able to connect all the dots.

it should be easyer to download videos and programmings files, it seems one has to click on each item. It would be nice to have surgesting to that courses to take after the set of 3 courses

I actually like the speaker / Instructor in this course. He has a very calm and attentive voice. Just some 2-3 concepts that i wasn't still unable to understand as it feels kinda in rush.

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.