Thank you Andrew Ng and team for such an incredible journey in this first course of machine learning specialization. I have gained much better concept and understanding on supervised learning, especially in linear and logistic regression. This course really helps me establish a solid foundation in the world of machine learning. Again, thank you so much for the opportunity :)

As a beginner in the field of Machine Learning, this course is a very good starting point as it ramps you up excellently and provides in-depth knowledge and understanding of the building blocks of ML. I highly recommend this for anyone starting their journey on ML understanding, as well as for experienced people who are looking for a refresher. Andrew is a master educator.

Andrew Ng is the best teacher I've ever had. I took his course just for fun - to work my brain and keep me from aging (not young anymore). It's not for my career or anything, but I love this course and can't describe how I like the way Andrew taught this course. Great teacher. I just wish the course is more rigorous and serious just like the Stanford one offered on campus.

Excellent presentation by Dr. Ng, as usual. I like how the assignments are prefilled with data/values not related to the core learning, how clear the math behind it all is explained, and that this course uses the tools most likely found in most companies.

The previous version of course was great, too, but skewed a little too academic. You did a great job, folks! Thank you!

I would confidently rate the "Supervised Machine Learning: Regression and Classification" course as highly valuable. The expertise of the instructors, the clarity of the content, and the practical applications covered in the course make it a commendable resource for individuals looking to enhance their understanding of supervised machine learning. Keep up the great work!

I took the previous Machine Learning and Deep Learning course in 2019, and the programming assignments were in Matlab/Octave, which was a bit challenging. But this Specialisation is entirely in Python, and I really enjoyed every content presented in the course. Dr Andrew's teaching method is just amazing and I hope to see a more advanced topic covered in the next course.

The course is an amazing kickstart to a student's life into ML. Andrew Ng is an amazing educator and has the capability to explain difficult concepts with ease. One area of improvement can be that more examples can be taken while explaining the concepts as the same examples over and over again can get a bit monotonous. Other than that the course is majestically designed.

An excellent course by Andrew Ng sir, Hats off for such learning material. Sir made this ML easy, though it is not easy. The content is heavy to digest though sir delivered it in easiest and simplest language. Thank you a lot Andrew Sir for such wonderful teaching. Coursera team thank you tons for giving me such a opportunity to learn one of the best course in industry.

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 .

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.

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.