This course has really helped me understand the basic concepts of supervised machine learning in an easy manner. I am excited to continue learning and exploring the field of machine learning. Thank you for providing such a valuable and comprehensive course!

This is the very first machine learning course in my ML career. I enjoyed the way of teaching by Andrew Ng Sir. He is an expert in explaining complex topics in very simply understandable language. Highly Recommend this course for anyone who breaks into ML.

Exposure to lots of math I wasn't familiar with, but after multiple rewinds, they mostly made sense. Though, I'll be going back through my notes to review the material to prepare for the following courses. Definitely recommended for beginners like myself!

Andrew Ng is such an engaging and clear instructor. I felt I understood the motivations behind various algorithms better than ever, as well as the underlying mathematics. As I completed each segment I was fired up to get to the next one as soon as I could.

You will still need to practice what you have learnt but the content that is re-enforced with the labs are a great start. You can take any data set you want on Kaggle and jump right in with your first ML algorithm. The knowledge gained here is that good.

Thank you for the fantastic course! The beginner-friendly approach really helped me understand the concepts. The labs were great for demonstrating the practical applications of the mathematical ideas . I’m excited to apply this knowledge in my projects :)

He uses easy and mimic words explains complex mathematical theories which is well understandable. The optional lab is especially well designed which helped me a lot to understand the concept of linear Regression and have practical experience with python.

I just completed the entire course and I must say it was just the best! I'm currently cousing 2 MBAs at one of the greatest universities in Brazil and let me tell it does not compare to this course, LOL. I've learned in those weeks more than 1 yrs of MBA!

Provides in depth analysis of supervised learning with graphs - examples - formulas and provides the intuition behind it. The practical usage of those skills in the labs are making the diffrence as well as the quiz which i would prefer to be a bit harder.

The course really was great, no doubt! I just wish there were more cognitive demanding exercises, say working on a project from start to finish with just little guidance, to really dial in the knowledge. But I really am excited to have taken this course.

I've taken a lot of courses on Coursera. This might be the best one. It took me a lot longer than the estimated 15 hours, mostly because I spent a lot of time studying the code that comes with the optional labs. For me, it was well worth the extra effort.

Great beginner class/introduction to ML. Clear explanations that go through step by step the equations/ calculations followed by what that looks like in code. Using simple, real-life examples also help to make the concepts easy to understand and digest.

As a biologist with a high school-level mathematical background, I could understand the mathematical logic of the algorithms well. The Python-based assignments were beneficial in applying theoretical knowledge to simple datasets. Must recommended course!

I enjoyed this course a ton. The explanations the professor gave where easy to understand but got deep into the concepts he was explaining. He was able to communicate concepts really well and encouraged learning everything and even experimenting with it.

Andrew Ng being one of the best teacher taught machine learning concepts so easily. The best thing about the course was the labs. They provided good amount of material for practice the final assignments were very helpful in implementing what me learned .

Prof. Andrew is amazing! I have taken other courses before (also the older version of this course) but never got to finish any. This time a push myself to follow every task and finally did it. Looking forward to the challenges from the next two courses.

This was my first course on the platform. Andrew Ng is one of the best instructors I've ever seen. He explains everything very clearly, and you can really see how much he loves teaching machine learning. I want to thank Coursera for such a great course!

Excellent course with a very engaging teaching style. The visual explanations and graphics made complex concepts much easier to understand. The Jupyter notebooks were thoughtfully structured. I learned a great deal and thoroughly enjoyed the experience.

"Wow, what an absolutely incredible course! Hands down, this ranks as one of the most thrilling and unforgettable courses I’ve ever experienced in all my years of studying. I’m practically begging the teachers to whip up more masterpieces like this one!

If you just start the journey of Machine Learning, I recommend you to start with this course. You will gradually know the science behind Artificial narrow intelligence starting from the simple well-known equation of a straight line. Thank you, Andrew,

The course material is excellent to learn the course's contents. Videos are very helpful for understanding. Assignments given in week#2 & 3 are really amazing for understanding coding in jupyter notebook.

We are very thankful for the teacher and others

It was the best course that I have ever passed. It was so practical and useful for me. My sincere gratitude goes to the instructor of this course professor Andrew NG and to Stanford university, Deep learning AI and Coursera for their financial support.

Thank you Andrew Ng sir and brilliant team of DeepLearning.AI , I have finished this course and start my interesting journey recently. I strongly recommend this new course in python which empowered by informative Lab and insightful visualization tools.

The teacher is really superb, makes the subject really simple to understand. Intuition chapters are specially helpful. Complexity adds up a little bit, but each layer is thoroughly explained.

Thank you Andrew Ng, and the team that made this possible!

Excellent first course on supervised Machine Learning. The explanations are very clear and the material, prepared by the instructor, is very didactical. I really enjoyed working on the notebooks and visualising regression and classification in action.