The fundamentals have been covered thoroughly. The assignments have been designed very thoughfully to give a clear understanding of the subject. More than anything my interest in Machine learning has deepened. Taking this course motivates you to go for more. I am delighted with teh experience it offered me in a short time.

Thank Andrew and the whole team that made this course possible. I learned so much in this course, Andrew is able to explain difficult concepts in a clear an concise way. The labs and quizzes helped to assess how much I've understtod the concepts seen. I have now solid basis to be able to grow in my machine learning journey!!!

Fantastic course with the always positive, funny and kind energy of Andrew. This is a very nice and fresh update from the Matlab course which now uses Python and I am so much happier and able to understand things better. Gives me motivation to keep learning about ML and hopefully one day be a part of this world professionally.

An excellent overview of the both the basics building blocks of modern machine learning algorithms and the state of machine learning today. Taught by the fantastic Andrew Ng, who makes even the most complex concepts easy to understand. Courses from DeepLearning.ai are a class apart from any ML related courses on the internet.

I have really enjoyed doing this course. I did have confusion working with vectors and differentiating them with scalars while coding. Some fundamental steps are more clear. Still lot of work to do on my own side. The hints provided and step by step guidance given is great tool for self evaluation and developing coding skills

At first, I didn't think this course was suitable for beginners. However, after taking it, I had to change my opinion. The code is clearly provided with meaningful documentation, and Instructor Andrew Ng explains all the concepts in detail. This course is truly excellent and meaningful for my journey to become an AI engineer.

Very well taught course covering basic concepts and examples lucidly. One does not need to get into complex mathematics and at the same time, it does cover the required maths driving the Machine Learning. The material, exaplanation and the various labs give complete picture of what's happening behind the scene of a ML system.

An amazing course for people wanting to learn Machine Learning. The planned progression from the basic concepts to the complex concepts in the course, is truly commendable. Every concept has been explained in simpler terms and can be grasped with a little effort. Thank You Professor Andrew and team for building this course.

This course is best for getting knowledge of what is machine learning really is. After this you just need some practice on algorithm and you are ready to go. Also way of explaining is most efficient.

I would like to thank coursera, Deep learning AI and Andrew Sir for bringing this much easy to understand course for students.

This course covers the mathematics behind the algorithms in an intuitive way, slowly building up in complexity. It is shown how to implement these algorithms programatically using Python, instead of relying on pre-existing libraries that do all of that for you. Overall excellent teaching and exactly what I was looking for.

Hello every one,

this course is really good. You can learn the basic and conceptual ideas about supervised machine learning and also with programming laboratories, you can see the effect of parameters in figures, which help a lot.

In addition, you can become familiar with python libraries such as numpy, matplotlib, SKlearn.

Professor Andrew Ng breaks down the basics of supervised learning algorithms into easy-to-digest videos and lessons. What I really liked about the course is that he really eases you into the world of Machine Learning whilst being comprehensive in the basics to prepare you to tackle more challenging concepts with confidence

The course explains really well the details of how regression and classification algorithms work, Further more, there practical techniques to improve, not only for the 2 algorithms but for many other (potentially more complicated) models. It requires a little bit of math but not so much. I really enjoyed taking the course.

Really incredible intro to machine learning course. I've taken several on Coursera and this one is easily the best. Andrew Ng provides great coding examples, real-world applications, and just enough math/theory to give you an understanding of what ML algorithms do without confusing you. Cannot recommend this course enough!

i completed the whole course except the optional lab assignments as thy were paid one. the very interesting thing about this course is the video duration . all video's of this course were of 4-6 min and at max to 9-10 min. which makes it convenient for student to complete whole course.

thank you sir and all the members .

Andrew Ng explained in details concepts of fundamentals of linear regression and logistic regression with math expression models. He kept strict to stick with formulas to evaluate the models ourselves without the help of the sci-kit learn built-in methods to use. which gives one what actually we are trying and doing here.

A really good course with upto date contents, the best part is the way the course content is displayed by being broken down and starting from scratch by understanding the base concepts and then moving onwards to advanced libraries that do the implementation so that we know and understand the fundamentals of how they work.

Andrew is a excelent professdor, I've a huge background in calculus and statistics, been one of the best students on my classes and even though I can see he master the concepts in a level that a child could understand it, the quality, the exercises and everything else on this course is excelent and is a valuable material

A very well organised course for people without prior exposure to machine learning. The on-going fine-tuning of the course content shows how generous the organising group is to help people get a first glimpse of the hot topic. If you want to explore the world of machine learning, this is the first course you need to take

One of the best courses I have taken on machine learning. It is very easy to follow and provided a wealth of information on Linear Regression and Classification models. I highly recommend this course for anyone who wants to understand the formulas under the hood of regression cost and how to make more efficient models.

Superb course! For those of us who have nearly forgotten statistics methodologies that we learned a long time ago, this is not just a refresher but also an insight into how we can apply what we learned. The instruction itself is brilliant in the way complex theories and broken down into understandable bite-sized chunks.

Without a doubt the most fun online learning experience I ever had. The way the videos and labs developed a pretty deep understanding of basic ML from gradually implementing theory and small lines of codes to implementing the entire algorithm of linear and logistic regression kept me hooked. Felt like a game. Thank you.

I think Andrew Ng's Supervised Machine Learning course is an excellent resource for anyone who is interested in learning more about machine learning. The course is well-organized, easy to follow, and covers a wide range of topics. I highly recommend it to anyone who is looking to learn more about this fascinating field.

The best course with exceptional strategy to teach through a marvellous instructor (Andrew Ng) has totally caused a pronounced impact on my learning and teaching skill. I appreciate Coursera for such an exceptional support and opportunities for learning. I hope I may payback in future through my expertise as well.

All the fundaments explained at a slow pace, to help the learner to fix concepts in the mind. Of course, all the important passages are perfectly underligned by Professor Ng. He always give the feeling that teaching is a grat pleasure for him and this helps all the interested people to learn these fascinating subjects