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.

A very good course. One of the best I've ever seen. The Jupyter notebooks in particular are extremely helpful for consolidating understanding. The course starts off very easy but becomes very challenging as it progresses. Because the lessons can be downloaded, you can revisit the material later and repeat individual lessons.

Excellent introductory course to ML. Presents the basic algorithms slowly and builds up on them. Calculus is involved but you're not required to remember it: I sure didn't, but knowing what a derivative is definitely helps. Introduces programming with numpy along the lessons. I'm glad I chose this course as a starting point!

This is my first ever online course. I am a total beginner when it comes to ML. This course was just perfect for me, the lab section is very interesting as I got to play around with the graphs, add my own values. I am now much more interested and eager to learn than before. Looking forward to finishing the remaining courses.

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.

Really well explained no doubt about the theory part, the teacher is amazing, the jupyter notebooks are really awesome 👏, but one thing which i found weird is that they weren't explaining the code, it is us who has to understand the code line by line. But if you are familiar with python then it will be more easier for you

I absolutely love how lecturer Andrew Ng guided me through the concepts and algorithms of Machine Learning. The simplistic way he explained the functions and concepts really showed that he's the top, the leading expert in this field. I'd love to thank him personally for this amazing learning experience. Andrew, you rocks!!

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.

Supervised Machine Learning: Regression and Classification offers a highly accessible approach to learning ML concepts. The explanations are clear and build confidence, making it easy to grasp even without prior knowledge. The labs are intuitive and self-explanatory, providing hands-on experience to solidify understanding.

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.

It is taught in awesome manner and the best course to study and understand the concepts of machine learning. Brilliant work all the people and organizations who contributed in making of this course in anyway. Thankyou so much ! Especially Andrew Ng sir, you teach concepts amazingly! Loved it! Hoping for more such courses

The course was very informative and understandable. Even though I had the foundations of Machine Learning and the topic covered in the course but after taking this course, I have explored many new topics which are indeed important for model's performance. I am excited to complete the specialization and take next courses.

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.