Best course for beginners. Andrew Ng is an amazing instructor and I am looking forward to start to his other courses. However, even though I definitely learned a lot, I wish this course was a bit harder.

I highly enjoyed the course .special thanks to Andrew for clear and simple teaching during the course. this course pushed me one step closer to the goal. Definitely I will enroll in 2 next course of this

One of the best online course. Even a person with a complete different domain knowldge can successfully complete this course without much dificulty. The math is not deep but to the point. Labs are great.

an amazing hands on experience, you not only learn ML but also python on the go and it is a very amusing course and very short to the point, easy to finish with some little effort and concentration on it.

I started taking the old version and then I heard this one was coming, so I did the new one instead. Much better! Great to be in Python and even clearer lectures. Prof Ng is easy and fun to listen too.

The course was very helpful in starting my journey into Supervised Machine Learning. It was also beginner-friendly and provided me deep intuitions to understand the concepts behind regression algorithms.

I have been glad to be able to cover this course through financial aid, looking forward to complete this course and be a part of the machine learning, thanks Andrew NG for providing such a amazing course

Now I have a solid grasp of Regression, Classification, and Gradient Descent. Andrew expertly untangled the complexities and turned what seemed complicated into a comprehensible gem. Thank You very much!

Really amazed to learn how the modern advancement of AI and Machine Learning are build with pure mathematics and statistics. Great thanks to Andrew Ng for making these complex concept easy to understand.

This improved version is a lot easier to follow comparing with 3 years ago.

The course has been designed very well. No software installation is required. The couse is using an online tool to do the labs.

Goes over the core fundamentals of Machine Learning. Motivated me to go through the course taught by Dr. Andrew NG at Stanford from YT in parallel to support the learning experience, was super worth it!

This course provided a comprehensive and hands-on introduction to supervised machine learning, equipping me with the skills to tackle real-world regression and classification challenges with confidence!

Absolutely brilliant course. Self taught enginner, wanted to learn more about building tools with ML and this course really gave me the fundemental knowledge I needed to take the next leap in my career.

The instructor has a deep understanding about Supervised Machine Learning and communicate/explain it very well in the video. The Labs are also useful to understand how to implement the theory into code.

Amazing course, I recommend who want to deep dive in Machine Learning should enrol in this course.

This course is designed for all the people but you need to understand python code to practice algorithms

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses .

It was the best course I ever had! It iwill be very difficult for me to use the algorithms I was tought, but I am very thrilled that I finished it! I am grateful to Professor Andrew Ng and the team!!!!

"Supervised Machine Learning: Regression and Classification" is an excellent introductory course that effectively teaches the core concepts and provides practical experience through coding assignments.

I loved this course a lot. The environment, the teaching methodology, the follow of concepts... everything is well crafted. And I can't thank you enough for availing this amazing course free of charge.

Has to be the best course in ML I have ever taken. Thanks to Coursera for the Financial aid. I would recommend the course for anyone who wants to learn the basics of ML in a fun and interactive manner.

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

I really liked it! Andrew explained perfectly all the concepts and I understood everything.

The only thing I think It could improve is to have more Lab Tests, so you practice more what you have learnt.

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

great course. Nice explanation even if you are not familiar with certain mathematical concepts Like Gradient. I would recommend having some mathematical base to ease the understanding of the course.

The course was excellent, and I gained valuable knowledge throughout. I am also grateful for the financial aid, which allowed me to complete the program successfully. Thank you for this opportunity.