This course helped me learn all the basics of Machine Learning. It covers topics of linear regression and logistics regression. Course is well organized and has good quality. I am very satisfied with this course. I Hope I can start a new career in machine learning soon :)

Wonderful course for beginners as well as experienced coders. Structured perfectly with good pacing, simple assignments and interesting hands-on labs . It definitely gives us a deep understanding of the concepts needed to apply machine learning in real world situations.

The contents of the course and the practice labs are structured in a way that someone who is getting introduced to ML and with little/no programming knowledge can catchup and complete the course successfully with a lot of learning. Thanks to the entire team behind this.

It's a fantastic course taught by Andrew Ng. It progressed from the fundamentals to more complex discussions of logistic and linear regression. Quizzes and laboratory tasks were quite enjoyable for me. I thank Andrew Ng and his team for offering this excellent course.

Really helpful! Doesn't feel that difficult in the beginning, but slowly starts to become a little complicated. Dr. Andrew's teaching pace and style is amazing, really calming. I enjoyed this course, and hopefully will love the next 2 courses in the specialization too.

This course has been a great learning experience and I am grateful for the opportunity to expand my knowledge in this field. With this course, I feel confident in my ability to develop, implement and evaluate effective machine learning models for various applications.

Fabulous course to learn the fundamentals of machine learning. The tutor of this course, Andrew Ng, has the best method of conveying essentials and basics through examples and visual graphs. I am more than happy I could access and follow this course through Coursera.

The finest quality material and learning experience I've experienced in a learning platform. Professor Ng is able to deliver key concept with outstanding clarity and conciseness, keeping the lessons engaging with with videos that are short, sweet and to the point.

This is EXCELLENT course. If you are confused about where to start with learning ML, start here. The course videos, practice code, and tests are all designed meticulously so that anyone with basic math and computer science knowledge can get a solid grounding in ML.

I just can't thank enough Andrew sir and Coursera for making such a wholesome course .

I was trying to learn machine learning from the past few months but the information was scattered and I became directionless.

This course is the best thing happened to me in year

I studied 4 courses related to the supervise learning prior to take this course. But this the best and amazing course so far I learn about ML supervise learning. Thank you so much Prof. Andrew Ng for created such an enormous effective ML supervise learning course.

I would like to thank Andres NG and his team for creating this amazing course on Machine Learning, such an amazing opportunity to learn and get familiar with foundational concepts about AI and Machine Learning. Amazing course thank you Stanford and Deep-Learning !

In addition to the evident technical mastery, you can really notice the excellent pedagogical quality of this curse. Definitely one of the best online curses I've ever taken. The resources provided and the organization of the jupyter notebooks is incredible. 10/10

Good content for learning the basics, but does not go beyond very simple math. Only two models were introduced here: linear and logistic regression/classification.

Has a very brief introduction to scikit-learn but again doesn't go to any depth beyond two lab files.

I was looking to start the process of learning AI/machine learning from absolute basic fundamentals. After checking various options online, i decided to try this course and i got what i wanted. If you are new to AI/ML, this course will be a great starting point.

An excellent course for beginners and people who know python alike. There aren't many drawbacks in this course, but I have to point out that this course would benefit with some easy to medium level exercises at least. Other than that this is quite a flawless one!

Brilliant course. Accessible for anyone who can code in Python and do high-school algebra math (yet it goes deep into the heart of the math for us nerds), and leaves you surprised as to how much you actually learned when you look back. No small feat by any means!

I really enjoyed the course because it wasn't too much information at one time but you could feel that it was good thought out. I would recommend to everyone who has a little bit of python programming experience and wants to learn more about Machine Learning. :)

Profs explanations were great and I only had to do a bit of my own learning to get a better grasp of numpy. My only recommendation is if you are applying for financial aid, do not start the course until you get approved. You cannot do any labs or submit quizzes.

All theories,details are explained completely simple ways. After watching all videos, I could understand given concepts and implement them on practical labs. Great thanks to all instructors and also cousera that provide me financial aid to complete this course.

As someone who was unsure about how to start with machine learning, this course was an absolute game-changer for me. The way the content was structured and broken down into simplified chunks was perfect for a novice like me. 🚀

This is epic, I 100% recommend it.

Great examples and visualization were given which were very beneficial to understand the following concepts. A great course to start your Machine Learning journey as it teaches you all the fundamentals you need to know for Supervised Learning. Highly recommend!

Very nice and instructional. The labs are a bit hard for me. I think maybe it's because I just am not that great at coding, so it's quite straining for me to comprehend. But otherwise, the videos are very helpful and the contents are introduced quite structured

Very good introduction on machine learning. One of the best explanations of linear regression I have ever seen. The course has a good progression from the basics to the implementation, but do not forget to practice on the labs. They are the heart of the course!

The Explanation of course is in-depth. while I was looking for Supervised Machine Learning: Regression and Classification with the help of sklearn. But, at the end of the course, I learn all the basic concepts in depth. Thanks for creating such good course.