Course was very interesting to follow and definitely broadens the mind in the machine learning subject. Instructor walks through the concepts of supervised machine learning with understandable examples and great teaching techniques. definitely recommended. Thank you Stanford and Deeplearning for providing me financial aid for this course.

this course was really helpful in order to make a person acquianted with the concept of machine learning and it's uses. But it can be better, maybe its my mistake but in optional labs if a person delete cells unintended, there is no way for recovery. So by solving this bug i believe this course and similar courses would be more efficient

Awesome course. Lots of high-quality material to explain the concepts. Optional code labs to gain intuition and both quizzes and practical labs to strengthen what you've learned. Also, the updated curriculum puts high emphasis on real-world tools (Numpy, scikit-learn) and concepts like regularization, feature engineering, feature scaling.

This is my first Machine Learning course and I am happy that I successfully completed it. This course is very beginner friendly. The course instructor explains the concepts with great simplicity. The optional labs are very helpful. It felt awesome throughout the course and I am super-excited to join the next course of this specialization.

Great and easy to learn experience throughout the whole course ,every part was explained in details. This is not an criticism ,but I had slight problem understading the gradient descent of logistic regression. Needed to take help from your old videos in youtube. But most of all Thank you for this course,can't help to continue the second

Great course. This class gave me better perspective of supervised learning. Data examination, Feature scaling, normalization and gradient descent discussed in context of both linear regression and logistic regression. Underfitting and overfitting (more data and regularization as a solution) was clearly explained.

I liked labs a lot. Thanks

I took a similar course in college and got a C, and I felt I never fully understood the concept. Now 10 years later, Andrew just makes it so much easier to understand the fundamental ideas of the concepts. Python and numpy also made it so much easier. I was able to blaze through and finish the entire course in just 3 nights. Thanks!

It is a definitely great course. The Course Instructor Andrew Ng goes over the topics very well that even a layman can understand it intuitively. The mathematics for this course although not mandatory is actually useful to have some basic knowledge of statistics and calculus to understand the idea and methods behind the implementations.

Great Learning!!

Pre-requisite : Basic python (it is needed to complete assignments and programming challenges)

Overall it is a great course to understand machine learning algorithms, including mathematical aspects of it. It also provides comprehensive explanation of Overfitting, Scaling, Normalization, Regularization and Sampling,etc.

An excellent course and a great introduction to supervised machine learning. It really helps build a solid foundation of basic concepts and algorithms, such as Linear and Logistics Regression. Also, the practical aspect of the course is also very fleshed out, giving the learners an idea of the various use cases of the concepts learned.

It was really well design, interactive, and practice based course to learn Machine Learning. You not only learn theories, but also relates that to real world and write codes in practice lab. Overall it is a 100% recommended course. Even a beginner can learn and understand this course easily without any prior knowledge in coding, or ML.

Andrew Ng is an excellent teacher. It's mind-blowing how he can explain everything clearly and effectively. When things get rough, his words of encouragement and persuasion feels like I have a chance to work at Google 😅. If you have background programming and used Python before, it will make you learn dan understand faster. Good luck!

I come from a completely different background without deep studies and pure Mathematics. Andrew made me to feel confident and comfortable through out the course. His teaching skills, contagiousness and the very deep knowledge was evident. If you are considering re-skilling (like me) or up-skilling yourself then this is course for you.

When i start the course i did not even know what is machine learning and when icomplete the first course of this specialization i am able to make a linear regression and logistic regression model in machine learning . This course teach me alot . I am very thankfull to deeplearning.ai speacially sir *Andrew Ng * and then the whole team

Great course for someone who is exposed to ML for the first time. Even without prior knowledge you can understand the underlying concepts that leads to build accurate linear regression and logistic regression models with minimizing the cost function. I'm keen to start building projects on my own. Thanks Andrew for this great course.

I found this course to be excellent. I've grasped the concepts and terminology of machine learning, thanks to the clear instruction from the teacher. The examples provided were intuitive and engaging, making it easier to understand complex ideas. Additionally, the Jupiter Lab section offered detailed guidance, making coding a breeze.

This course was very interesting. My mentor Mr.Andrew Ng well explained the concepts. They were easily understandable. since I am new to the world of programming, I am really happy and excited to fix the errors in my program. Thanks to my mentor and the course era team. This course will be very much helpful in upgrading my career.

A great course in machine learning. I learned a lot in this course and I definitely recommend it. Besides, it would've been great if they had some project besides the labs, though still it introduced me to a lot of excellent materials regarding machine learning, and I am looking forward to taking more courses in this specialization.

It was a brilliant course and it helped me think more analytically. The practice labs and visualizations were spot on, they really helped in getting the intuition about what was being taught. Andrew Ng as usual was really great and explains everything quite nicely and calmly. The examples given by him complement the theory nicely.

I am profoundly grateful for the opportunity to study in this course. It is an immense privilege to learn directly from an extraordinary and highly esteemed mentor, Andrew Ng. I would also like to extend my heartfelt thanks to all the organizers of this course. May you always be in good health and may your affairs be facilitated.

I've always heard great things about this course and I was blown away by the quality of the content. Andrew Ng is a Great Teacher. He makes you feel right at home explaining complex topics by breaking them down into small easily digestible bits of information. I am definitely gonna take another specialisation from DeepLearning.AI.

Extremely impressive content (video, labs, and supporting interactive visulations) that truly help build intuition for the problems solved, while simultaneously aiding understanding of how and why to code the functions to solve the problems. Light on soley math, light on soley code, heavy on the intersection of the math and code.

This course has been eye-opening for me. Professor Andrew explained everything so well that he actually made us enjoy the topic. It's a fascinating subject and a pleasure to learn. I'm really satisfied and learned a lot. Being able to go at my own pace and receiving a globally recognized certificate made me very happy. Thank you!

A crystal-clear explanation of each part facilitates understanding and intuition of the concepts, and the questions in the middle of the videos and the practice labs help to see the implementation of the concepts with real-world scenarios. A special thanks to Stanford University and Coursera for these high-quality online courses.

Awesome course! The lecture is easy to learn and friendly to beginners. Many thanks to the professor and all the staff working for this amazing class. As a researcher in the social science field with limited Python knowledge, I learned a lot in this course and I'm considering the knowledge in my academic field. Huge thanks again!