This is a fantastic course. I really enjoyed completing this course. I must say that Andrew Ng is a fantastic teacher. Thank you, Sir, for teaching such an excellent course.

To be straight Forward I will review this course. I loved this course very much through which I have gained knowledge on the supervised learning, how it works in background

Very complete and interesting, although I believe the difficulty is not high at all. Muy completo e interesante, aunque considero que la dificultad no es para nada elevada.

Excellent introductory course. Andrew Ng is a great teacher, providing an intuitive introduction to material with enough details to encourage a deeper dive into the topics.

Really good lesson plan and delivery to explain the fundamentals. Some previous python numpy will help with the coding exercises, but what you need is taught in the course.

One of the best courses I've taken so far! I loved that you provide scikit-learn examples so we could compare how easy it is to implement the algorithms using this library.

Everything is crystal clear to understand even if you're not familiar with python language. Instructing was so flexible specially for beginners. Recommended for beginners!

I took Professor Andrew Ng's original ML course in 2012 and decided to take the new ML specialization as a refresher. So far, it's exceeded my expectations! Very well done!

The best refrence for those who are interested in having a deep and solid understanding of the ML concepts and not just know how to use some library codes like Tensorflow.

This was my first course in Coursera, and I loved it!! Sir Andrew Ng is the depiction of the perfect teacher in this AI/ML era. Awesome explanations, great experience! ❤️

It's a nice course for beginners; however, if you are looking for a more mathematical course with a theoretical foundation, do check out Stanford CS229 by Prof. Andrew Ng.

Thanks to the course,i learnd a lot about Regression and Classification.The course raise my passion of machine learning. I wil learning the other course with more efforts.

That's how education shall be! Thanks Andrew and the team for such amazing learning experience, very motivated to continue the rest of the Machine learning specialization!

Great intuition to teach concepts, excelent course material and a lot of fun to discover. Thank you very much for all the knowledge you shared through this specialization.

Excellent teaching style. Question after every concept in the video is very interactive. One thing I felt is that somehow coding must also be interactive during the video.

Really good, even when you already know the stuff, this course is great. I never seen this aproach of implementing things from scratch in another machine learning course!

thank to you prof. dr. Andrew Ng and all the team in coursera and deeplearning.ai for this outstanding course and amazing platform that makes learning easy and enjoyable.

add one video for numpy and scikit learn so we can get better understanding because reading is painful otherwise this course is really well degined and easy to understand

Course gives you a great deep dive into the basics of machine learning with a focus on understanding the inner workings of machine learning models in a simplified manner.

What a great intro to Machine Learning!! Andrew is a great teacher. He goes slow but at the end of each week you look back and are surprised with how much you've learned.

Excellent course. It gives better understanding on basics of machine learning. This is the best course for the beginners and freshers who wants to learn machine learning.

Thanks toAndrew Ng for wonderful sessions.The way Andrew explains the concepts is really interesting.Enjoyed all his lectures thoroughly.The lab sessions are very useful.

I am always believer if the foundation is good then everything falls into. This is perfect course me to understand the foundation and basics with actual roots of the ML.

Excellent introductory course to ML! The examples are clear and the labs are very helpful to understand its applications. A little bit of Python indentation is required.

It was a great course and i really enjoyed it. The maths was a little bit confusing at times but Andrew explained it in very simple terms and made it easy to understand.