Pretty great course. Only one concern: Assignment are easy. For added difficulty try to code in vectorized way without using for loop to calculate cost, gradients in the assignment.

Professor Ng and the course materials are excellent. The concepts are made easy to understand, but not over simplified. Professor Ng clearly loves his subject and enjoys teaching.

A beginner friendly course for any one who wants to gain insights in what supervised learning is and what are the techniques and formulas underlying Regression and Classification.

As a former student, it was a great experience to come back to this and see some very useful updates especially around the usage of Python, NumPy, Scikit-Learn and Jupyter Notebooks

Wonderfully explained, easy to understand, and the practice labs were very helpful (definitely recommend reading through it for review and to get a deeper understanding of the code)

One of the best courses to start Machine Learning journey with easy-to-understand videos, lab sessions and quizzes. Dr. Andrew is no doubt one of the best instructors to learn from.

Really good course for beginners as well as advanced people looking for a brush up on topics. The labs are self-sufficient requiring continuous practice from the participants' side.

One of the best courses for who do not have any previous experience in machine learning. The course focuses on the practical part as well as the mathematics behind machine learning.

Professor Andrew Ng is brilliant as ever in this course. There are a lot of notebooks with great visualizations after almost every video. I highly recommend this course to everyone.

This was an amazing course which highlighted the importance of foundation building in Machine learning. Sir Andrew made this roller coaster ride a very smooth and delighted journey.

A very interesting course. It was intimidating at first, but I just had to keep going and I'd say I would still revise this course over and over again to glean deeper understanding.

Provides one of the best content on Machine Learning available globally on internet to learn from. I loved the way Sir NG teaches the course. This course literally deserves 5 starts

The course provided a solid foundation with a great teaching style, combining illustrative examples and hands-on Python exercises for clear understanding and practical application.

nice the learning are different compared to othere the labs help me to implement the mathematical model thanks for coursera team and andrew ng sir i like the platform more thanks

Very comprehensive. I found It tough at the outset because of a lack of Python knowledge, but I caught up. I feel I could do the course again. Looking forward to what is coming up!

Ótimo curso introdutório sobre Machine Learning e suas propriedades matemáticas e práticas em Python, recomendo a todos que desejam ingressar na área com um conhecimento acadêmico!

This was my first online course, I confess I was a little apprehensive, but the experience was excellent. The quality of the course, resources and learning trajectory were amazing.

A very well explained and highly appreciated efforts done by the team of deep learning.AI

labs were extremely useful and informative

thanks for the efforts you putted in the course

Perfectly designed course for beginners. I like the way the instructor taught this course. The focus is more on the concepts and not on the mugging. Quizzes are designed very well.

what a wonderful and useful course i have attended! Undoubtly, I have learned a lot from it. Thank you for all people who take much more efforts and time for improving this course.

A most excellent course that starts you from 0 to implementing linear and logistic regression completely in Python. Very well paced and produced. Andrew Ng is an excellent teacher.

The course is so concise and helpful, containing fundamental knowledge for me to learn other algorithms on my own. I appreciate the great teaching efforts of everyone at Coursera.

this course really help me to understand what machine learning is how we can use the supervised learning algorithm from different way. so thank you for providing this great course

Coming from a pure mathematics background I wish it went faster on the basics, and maybe also a bit deeper, but at the same time I understand the need to be understood by everyone

This machine learning course is outstanding, offering clear instruction, practical projects, and real-world examples. It's perfect for anyone seeking a solid grasp of ML concepts.