At first, I enjoyed this course and loved how Mr. Andrew NG covers everything and makes them simple. This course covers all the mathematics, the basics, and the concepts I need to understand these supervised machine learning algorithms. Although, I think if there were more practices throughout this course it would be much better, especially, more with scikit-learn .

I thoroughly enjoyed this course! Andrew Ng's teaching style is exceptional—he uses simple words to explain complex concepts, making everything feel approachable and interesting. The practical examples and clear explanations kept me engaged throughout. This course is perfect for anyone wanting to learn machine learning without getting overwhelmed. Highly recommended!

This is a wonderful introductory course for Machine Learning. Andrew Ng is an amazing teacher and explains every concept in such a clear and understandable manner. It begins by explaining what are features, weights, cost functions etc and then move on to Linear Regression, Logistic Regression, Gradient Descent and Regularization. You can't go wrong with this course!

This course by Andrew Ng is exceptionally beneficial for beginners eager to delve into the realm of AI. It also offers significant value for experienced practitioners seeking to reinforce their understanding of fundamental concepts. Andrew Ng deserves commendation for his dedication to ensuring that learners worldwide can access and acquire valuable knowledge in AI.

I binged watched the whole course in two days since i couldnt just stop. Andrew is amazing, most of the time i was able to understand some mathematical concepts that is didnt think i will be able to understand before. I think that every beginner in machine learning has to start with this course. It explains mathematically all what you will be using as code later on.

At the end of this course, I could really get to know about machine learning and understand the terms related to ML. This course is very helpful for beginers who wants to learn about ML. After completion of this course, I am also doing another 2 courses which are combined in this main machine learning course.

Thank you Andrew Sir for these well explanation ML terms.

The Course was very interactive and has many quizzes to evaluate your understanding. Exited to Complete the upcoming courses on Advance Algorithms and unsupervised Learning. I would like to thank Andrew ng and the whole teaching staff for creating the best material for machine learning. I especially liked the optional labs, which helped me dive deep into the topic.

Really learned a lot of mathematical concepts behind machine learning algorithms in depth. The course content is in sequence andintroduces complex topics in a quite simple manner. The associated optional labs and programming assignments hep get better understanding of underlying concepts. Nevertheless, the pre-requisites such as python, statistics are important.

Professor Andrew Ng delivered a high quality course as always. I refreshed my knowledge of regression and classification. The course has amazing examples of how gradient descent works under the hood. Each new concept has a jupyter notebook example and visualization of how each step works. Highly recommend this course to anyone interested in introduction to ML.

I thoroughly enjoyed the course 'Supervised Machine Learning: Regression and Classification' by Andrew Ng. The way he explained the material made even the more challenging topics easy to understand. I learned a great deal about machine learning, with detailed explanations that made complex concepts accessible. Thank you for such a valuable learning experience.

Coursera’s Supervised Machine Learning course exceeded my expectations in every way. It provides a thorough grounding in supervised machine learning, supported by excellent teaching and practical, hands-on experience. Whether you’re a beginner or looking to deepen your understanding of machine learning, this course is an outstanding choice. Highly recommended!

The course is very well done and I'm pretty sure you'll be listening to Andrew with excitement and great focus. Unfortunately, if you're already skilled in algebra, calculus or programming, I don't recommend this course for you, as it's for complete beginners, and a lot of time is spent on explaining fundamental things in quite mathematically informal manner.

Supervised machine learning, encompassing regression and classification, is a powerful approach to make predictions and decisions based on data. It's crucial to understand the concepts, choose appropriate algorithms, perform careful feature engineering, and evaluate models effectively to achieve accurate and reliable results . Thanks to Coursera Authority

It was a great learning experience. Andrew has been an excellent teacher. I never felt at any point that the course was getting heavy on me. He explained each and every aspect with extreme detail.

But I do suggest to add Lasso Regression and Ridge Regression. Although a part of Ridge Regression was covered in this course, it was not emphasized upon that much.

Developed lots of mathematical intuitions, had fun labs which I must say were absolutely beautiful, notebooks provided by the instructors were phenomenal, I would recommend the course for the labs!! Just watching the videos and doing quizzes is *not* enough and the instructors know that.

I am grateful to Andrew and team for the wonderful work they have done.

Excellent course, I learned a lot. In particular, looking at the algorithms, logic and mathematics behind machine learning gave me an in-depth understanding of how it works and how programs are built. With so many Python libraries, it can be difficult to navigate the program, with this course I was able to understand the libraries used and their strength.

This course help me understanding the basics of Linear regression and Logistic regression. Andrew Ng is explaining every point deeply and It's easy to go with the course.

With the lab material provided, it is find to polish the skills and understand how things actually work. I liked the course and it is very good for someone who is new in machine learning.

Since this is my very 1st course ever in field of Machine Learning (career switch from civil engineering domain), I am very thankful to Dr Ng for making the tough terminolgies so easy to understand. The practical assignments (python programming) is what makes this course industry oriented. Thank you so much for this masterpiece Dr Ng !

Regards

Kasib Ahmed

ML concepts very well explained. For practicing and actual world challenge additional resources on Numpy, Tensor Flow, Keras are required. Professor makes this a cake walk to understand core of machine learning concept for new to the field. I am weak in programming still I could see (experience ) the vast expanse of this alien world of machine learning.

Sir's explanations is excellent ,I learned and enjoyed all the videos and practical lab so that's why thank you respected sir and thank you Stanford University to give me this course in free. Lastly I requested to the university please give me the remaining 2 course for free because I want to learn but I have no enough money to buy the remaining course.

very good course and one of the best part of this Course it do not use library directly rather than it use traditional mathematics and show how mathematics is the language of the ml or universe and make your confidence very much high and you will not only love this course but also feel every part of the lecture ,every algorithm how they actually work.

Excellent course. Great introduction to supervised learning. It helped me cement much of what I already knew on the subject and also gave me a deeper understanding of the course subject. Thank you very much Andrew and the DeepLearning AI team as well as Stanford University and Coursera for this course. I recommend it to any beginner to machine learning!

Excellent course and taught at a good pace which was very helpful for a working professional like me, as I had to squeeze in classes whenever I could. Loved the instructor, Andrew Ng, as well. The explanations were simple, precise and complete and that made a difficult topic seem easier. I'm inspired me to take on a few more courses in Machine Learning!

This is the best course on the internet for supervised machine learning and its basic algorithm. I learned a lot of new concepts from this course and I hope to learn new things after this. Andrew Ng is an awesome instructor . I loved the way the whole course was conducted. All of the topics were simplified and optional labs were very helpful as well.

This course is like a milestone in my career. The very well-structured material was brilliant among other educational courses I ever had. As a person who had no idea about ML, it was a perfect beginning. Also, the encouraging tone of Dr. Andrew Ng alongside his clear educational path in this course is motivating to keep it alive all the way to the end.