The starter code for the third assignment was a little deceiving. I coded it using np.dot() instead of a for loop and I feel my method would be useful in some cases as that's how the notation is.

Great course. Easy to understand but deep in contents. Accesible even if english is not you mother tonge, but better if you have certain math base knowledge. The Jupyter notebooks are so useful.

THIS is an example of how the courses on this platform should be! Very balanced with theory and practice, good lectures, amazing community, LOTS of practice, and more! Did not disappoint at all!

Challenging and educational. You really have to put an effort to understand the content, since it delves into complex stuff, but if you commit it, then you really learn some valuable knowledge.

This is one of the best courses I may have ever done in my life. It teaches the basics and the more advanced concepts in such a way that it literally sticks in my mind! I am now dreaming ML...

Great course. Focused on understanding the concepts and then applying them piece by piece in code with the optional labs an excellent addition for further understanding and learning the code.

Very good course and walks you through every concept needed for Regression and Classification. Thank you Andrew for providing such a great course and looking forward to meeting you one day !

A very clear and well explained introduction to Machine Learning; Andrew's videos are very easy to follow, and he explains the concepts and the maths very well! I really enjoyed this course.

i really liked the course, but because i am a beginner i will understand more about machine learning especially cost function logistics. after that, i am going to complete the next 2 courses

Good intro to the underlying theory of regression/classification. I'd applied these techniques at a high level before, but I'd never learned how they're actually implemented under the hood.

I like the way jupyter notebooks are designed. It saves time on testing the code because it displays step by step what is happening and allows me to focus on the code logic implementation.

Amazing course explaining the math behind the most famous algorithm. Good explanation of the gradient descent.

Thank you to Andrew Ng and his team! A bit of math background is needed though

I really enjoyed taking this course. I absolutely loved the labs which were very helpful to test my understanding of the material I had just learned. Thank you to Coursera for this course!

Goes into the details of Logistic regression & Classification. The course is designed in a very simple and easy to understand format and Andrew sir is amazing all through out the sessions.

Amazingly delivered course! Very impressed. A superb educator, Andrew Ng. Using simple to understand examples, he thoroughly described every topic covered in the course. Sir, many thanks.

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 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! :)

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!!

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.