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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

8,300 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews


Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.


Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

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226 - 250 of 1,891 Reviews for Supervised Machine Learning: Regression and Classification

By Abdullahi E

Mar 14, 2023

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.

By Şəfa S

Oct 18, 2022

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.

By Matheus d M d A

Nov 5, 2022

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!

By Xiaoyu M

Oct 4, 2022

It is suitable for beginners and those who have studied it to review the course, which includes machine learning methods and ideas such as linear regression, logical regression and clustering. The course provides practical codes for everyone to learn. Great!

By 曾思纯

Aug 6, 2022

He uses easy and mimic words explains complex mathematical theories which is well understandable. The optional lab is especially well designed which helped me a lot to understand the concept of linear Regression and have practical experience with python.

By 游铠强

Aug 30, 2022

Prof. Andrew is amazing! I have taken other courses before (also the older version of this course) but never got to finish any. This time a push myself to follow every task and finally did it. Looking forward to the challenges from the next two courses.

By Muhammad A

Mar 5, 2023

The course material is excellent to learn the course's contents. Videos are very helpful for understanding. Assignments given in week#2 & 3 are really amazing for understanding coding in jupyter notebook.

We are very thankful for the teacher and others

By mehran k

Dec 28, 2022

It was the best course that I have ever passed. It was so practical and useful for me. My sincere gratitude goes to the instructor of this course professor Andrew NG and to Stanford university, Deep learning AI and Coursera for their financial support.

By Maede S

Dec 21, 2022

Thank you Andrew Ng sir and brilliant team of DeepLearning.AI , I have finished this course and start my interesting journey recently. I strongly recommend this new course in python which empowered by informative Lab and insightful visualization tools.

By Miguel I (

Sep 25, 2022

The teacher is really superb, makes the subject really simple to understand. Intuition chapters are specially helpful. Complexity adds up a little bit, but each layer is thoroughly explained.

Thank you Andrew Ng, and the team that made this possible!

By Ofek c

Sep 16, 2022

I am not new to python but new to machine learning and I feel like the course tought me a lot and also managed to simplify very complex subjects at the begining before stepping into details which it also does very well.

Andrew teaching is amazing ! .

By Margarete M K

Feb 17, 2023

Very good - I liked self-paced curriculum!'

Very nice lectures and well presented. Simplified enough, that I don't have to be a mathematician to follow the course.

Very good interaction with the labs to help me also see immediately the implementation!

By Manjul S

Jan 2, 2023

The course starts from basic and inceases its level, the instructor taught smoothly and easy to understand by anyone, The course is having all the materials which you are needed while learning as ppt-slide, quiz, assignments and all are very useful.

By Iuliana A B

Oct 23, 2022

It's a really good start to understand better the neural networks later.

I saw a lot of courses about Machine Learning but was focused just on results (creating projects) rather than first understand very well what are you doing, like this course.

By piyush p

Feb 28, 2023

It is very interesting and useful course to gain understanding of Machine learning. I found it very useful to develop intuition of how ML algorithms work. Thank you so much Prof. Andrew Ng and Team for developing this course materials. I loved it.

By Girish Y

Aug 18, 2022

Firstly i would like to thank Standford University for granting me financial aid for Supervised Machine Learning Course excellent and well oraganised weeks and all lectures were taught were clearly and even assingments were challenging as well .

By Lakshminarayana R M

Dec 17, 2022

This course is really structured very well and the concepts are explained in the best way possible by Mr.Andrew. The math behind the algorithms is explained very well and was easy to follow because of the practice labs after almost every lesson.

By Christian L P

Sep 13, 2022

Andrew Ng has an amazing way of presenting the information and ideas relevant to machine learning! I took this course over my summer break, and I am glad I did, as I learned valuable skills such as the basics of linear and logistical regression!

By Parto A M

Sep 7, 2022

This course is amazing! I'd been watching Andrew's previous specialization for a while and I really wished it was with Python instead of Octave. When I realized he - alongside his colleagues - was releasing a new course, I immediately signed up!

By Dawit T

Aug 26, 2022

I like this course because you can actually impelement the theory you have learned in the lab using python.And also a very clear and enjoyable explanation by Andrew. I would recommend this course to any one who want to start in machine learning.

By Yiwei J

Feb 21, 2023

Explicit and intuitive explanation. The most incredible part is the setting of the corresponding jupyter notebook files which serve as both practical demonstrations and notes. I would give 5 stars to the course and keep going to the next course.

By Alex L

Dec 11, 2022

Great introduction to prediction models using the mathematical formulas, plotting data and exercises to give you deep comprehension of basic concepts of machine learning. you will need just a basic knowledge of python sintaxe and data structure

By Prejith S

Nov 13, 2022

Coming from a health science background, I found this course very useful as it was able to guide me through the basics with very lucid explanations and examples. Looking forward to completing the specialization and learning a lot of new things.

By Subakaran R

Oct 25, 2022

Beginner friendly, thank you for this course. I have a civil engineering background with no or very little programming knowledge and about ML and I never had to refer something outside of this course materials because of lack of understanding.


Jan 22, 2023

I was searching for a practical and theorical course and this course has everything i wanted, the teacher is incredible good at submit clearly the information and complicated statements are explained in a manner that all people can understand.