Great course! I enjoyed it a lot. The pace was good and the labs were a lot of fun. I really enjoyed the interactive jupyter notebooks to play around with in order to get more intuition.

I really like to do the details. When coding you need to go to the last detail of implementation. A program that almost run and almost ready ...doesnt work. It does work when is running

One on the best instructional series I've ever seen - not only in the field of ML, but generally. The lectures and labs are perfectly balanced and allow for gradual and stable progress.

Lambent is an understatement. I thought it was difficult but it is not. Anyone can go through it. I am looking forward to completing 2 and 3 and later shift to tensorflow specialization

I MUST CONFESS THAT I HAVE NOT ONLY UNDERSTOOD THE COURSE BUT I REALLY ENJOYED IT TOO.

THIS IS A COURSE WORTH ITS PRICE. THANKS TO EVERYONE WHO CONTRIBUTED TO ITS ESTABLISMENT.

THANK YOU.

The One Thing I Really Love about This Course is The Instructor 'Andrew ng' is Awesome. He is Such a Good Person and I like His Smile. His Teaching Methods are Really Good. I love Him.

It was a very interesting course! I learned a lot and was able to familiarize myself for my upcoming master thesis in the field of machine learning! I will visit the course part 2! :)

This course is extremely recommended for students who are interested in Machine Learning algorithms. Everything is explained clearly, without any sophisticated definitions or formulas.

Amazing course. I learned a lot. Much much better and easy way to understand ML than the original 'Machine Learning' course. Thank you all the team members for reorganizing the course.

This was a great class! I was excited to see that it was more digestable then the calcualus c229 class on youtube. Also, a must view for the math nerds lol onward to the next course!!

This course has been very helpful in my learning, the explanations are easy to understand and the practice is very easy to do, making it one of the best courses for beginners. Thanks.

Wonderful content and presentation. Awesome lab support. But while submitting an exam it graded zero for first time and shown actual grade after resubmission without any extra change.

This course is very helpful for understanding the fundamentals of artificial intelligence. I am surprised how deeply Andrew NG explains most complex topics using very simple examples.

Great course for introduction to Machine Learning!. This course dig deeper into "what happened" when you using or running machine learning model. Thank you Coursera & DeepLearning.ai.

Nice to finally discover some practical applications of all the calculus I learned years ago. Enjoyed the course, especially the explanations and demonstrations of the maths involved.

What an amazing course ,I really gained alot of knoweldge throughout the course but I hoped to apply my knoweldge in real data set or real application for Linear/Logistic Regression

Fantastic platform to start the machine learning journey, where the very basic and needed terms,definitions, algorithms are neatly explained. Had lot of fun through the entire course.

The fundamentals of Linear and Logistic Regression were explained clearly. The material would help me apply the learning in job at great extent. Thank you for such an amazing course.

This was a fantastic course. Andrew's teaching method was terrific and the way optional/practice labs were designed really helped solidify the concepts learned during video lectures.

hello sir, I'm grateful to have access to the world wide knowledge provided by people like you. I learnt many things usefull and i will be keep on learning. Thanks a lot sir and team

good content and instructor was perfect.

good slides and practical labs helped me for learn more python syntax in different libraries.

I highly recommend this course as you beginner

I want to thank everyone, the course taught me a lot. I think that what I have learned through this course will be very useful to me. I am grateful to those who organized the course.

Pretty great course. Only one concern: Assignment are easy. For added difficulty try to code in vectorized way without using for loop to calculate cost, gradients in the assignment.

Professor Ng and the course materials are excellent. The concepts are made easy to understand, but not over simplified. Professor Ng clearly loves his subject and enjoys teaching.

A beginner friendly course for any one who wants to gain insights in what supervised learning is and what are the techniques and formulas underlying Regression and Classification.