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

8,144 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


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


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.

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301 - 325 of 1,845 Reviews for Supervised Machine Learning: Regression and Classification

By Meiliang P

Oct 10, 2022

I really enjoyed this course!!! Andrew Ng is a wonderful professor. explained things very well. and I loved the lab. apply the concepts with codes. learned a lot in this course and looking forward to the next one

By Aravind S D

Aug 13, 2022

It's a refresher for me and I learnt from one of the best teachers in the world and I admire to do the same and pass the knowledge. I can't forget who taught me the best and that's Andrew ng. Thank you Andrew ng!

By OM B 2

Jul 28, 2022

Excellent course!! must be taken by an AI enthusiast. The concept is explained in a clear and crisp manner. The content is organised in such a way that while going through it, we will master concepts step by step.

By Mayuresh C

Jan 31, 2023

Really this course helped me to learn new stuff about Machine Learning and more importantly mathematical side of ML algorithms. All the optional labs and practice labs were informative and interactive. Thank You.

By rahul k

Jul 17, 2022

Topics covered are very useful and can be implemented in real life. Clear and Precise explanation of each topic. Pace of this course is quite good. Visualizations made it easy to understand the basic principles.

By Jeffrey B

Feb 24, 2023

Good course, very easy to understand, and the labs give you some good visual aids to help absorb the material. Overall a good experience, looking forward to the rest of the Machine Learning Specialization track.

By Boyang H

Jul 15, 2022

Although This should be deemed as an Intro Intro Course to Machine Learning, you can not really find a better way to dive into the field. Andrew Ng is one of the best professors you can have in your whole life.

By Daniel J R B

Jul 14, 2022

I liked this course, very didactic and with many practical labs where you can experiment and understand all the math behind the ML models, and also learn all the basic programming to implement them using Python.

By aakash b

Jun 23, 2022

In the world of today when most people are pursuing courses for an embellishment of their CV, this course shows that the best minds are those which focus only on learning without worrying about the consequences.

By leslie h

Jan 29, 2023

just a really well paced, non bloated curriculum, for what is an extremely hard subject. I had to do everything twice to really get there, especially with the code, but this of course is not unusual in learning

By Devinder K

Jul 11, 2022

Very well designed. I am glad that I joined this course. Video embeded questions and quizzes really helped in clearing the concepts.

Lab practices were an added bonus to pace up our learning.

Thank you Andrew Ng

By Julio L

Oct 27, 2022

Excelente curso. El material es básico, apto para principiantes. Las lecciones son intuitivas y fáciles de seguir. Los laboratorios opcionales permiten revisar detalles de la codificación de los algoritmos.

By Azaz B

Oct 9, 2022

The course was amazing. Andrew Ng is my most favourite instructor at online platform and I really enjoyed the course. This course has boosted my confidence and thrill to enhance my career in machine learning.

By Samuel Q

Aug 2, 2022

Lectures are very well made. Support material (jupyer notebooks) is excellent. Awesome course. Great way to brush up on the basics and its also nice to hear Andrew's enthusiasm and passion for machine learning

By Vardan M

Jul 8, 2022

This course is next level gives all the intution about machine learning algorithms including linear and logistic regression and also go throug one of the most popular machine learning library named Scikitlearn

By homi c

Mar 9, 2023

The course is so great that I finish it with little effort, but if the course can publish materials like pdf and notes, things will be better. I also wish that the captions can be revised to be more accurate.

By Avi W

Oct 9, 2022

Clear and approaches from the mathematical point of view, which allowed me to better understand, rather than approaching from the ML point of view, which includes its set of unique and often confusing terms.

By Rafael B

Sep 26, 2022

Quizzes could be harder, but I really enjoyed how the course teaches you the underlying mathematical aspects of each discussed model and showing why it works instead of simply plugging a data into a blackbox

By Luis F O

Sep 12, 2022

Loved this course! I took the original course like an age ago, and now this one as a refresher. The content is great, Andrew NG is an awesome instructor, and the quizzes, assignments and labs are just right.

By Bruno P

Jun 29, 2022

Great. For me, this course was a personal milestone, where I was able to understand the mathematical roots of machine learning and at the same time its implementation without necessarily decorating libraries.

By Franz M Z

Mar 16, 2023

Hands off the best supervised machine learning course out there! I have learned substantially when it comes to the algorithms and optimization techniques used for both regression and classification problems.

By Polusani S

Feb 16, 2023

This course is very insightful and Andrew Ng is good at explaining the intuition behind mathematical equations. This course made me fall in love with Maths, Calculus and Algebra. It's a very valuable course.

By José Á A B

Dec 15, 2022

It is amazing how complex concepts and equations were taught in very simple and pertinent ways, stating at every step which understandings were essential and which weren't, etc. Overall, an excellent course.

By Deleted A

Nov 13, 2022

Detailed explanations were excellent. I was able to follow them and get an true understanding of some very powerful ML techniques. Quizzes were just right. Code examples and assignments were very well done.

By Anton

Aug 1, 2022

Great course for complete beginners. I would recommend something different for people with technical backgrounds though - this one is too simple (although I do understand that it is not a bug, but a feature)