Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
27,552 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

FA

May 25, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

AD

Nov 24, 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.

Filter by:

651 - 675 of 5,288 Reviews for Supervised Machine Learning: Regression and Classification

By Muhammad A K

•

Mar 16, 2024

It was amazing journey with andrew. I have never seen such an amazing teacher in my entire life. He taught each concept mathematically and gave proofs which is why I love this course as well as teacher. Thanks Andrew and Deeplearning.ai

By Pranjal R

•

Jul 6, 2023

Great content and very well taught by the instructor. However I believe that video sessions for the programming labs could would have helped me better as it was sometimes difficult to understand the role of "function" of used libraries.

By Jahez J

•

Jun 16, 2023

I was hoping for a slight mathematical understanding about the regression and classification in machine learning before enrolling for this course and today I am glad that I did enrolled. Amazing explanation and informative lab sessions.

By Chad S

•

Jul 4, 2022

Better than the original due to the interactive Jupyter notebooks written in modern Python, than the Octave environment on the previous versions of the materials. And as before, Professor Andrew Ng is an amazing and engaging instructor.

By Aditya C

•

Apr 2, 2025

I’m incredibly grateful to Coursera for approving my financial aid for the ML Specialization course. This opportunity makes quality education accessible to everyone, and I truly appreciate it. Thank you for supporting learners like me!

By Giorgio G

•

Feb 23, 2025

Il corso parte letteralmente da zero. Credo che sia molto semplice seguirlo con un minimo di base matematica (ma veramente un minimo). Per chi ha chiari i concetti base del calcolo matematico può concluderlo anche in un paio di giorni.

By Maitreya J

•

Nov 9, 2024

Amazing course to learn regression and classification in Machine Learning by Prof. Andrew Ng. Anyone enrollling in the course will appreciate the efforts made in designing the course. Each and every concept taught here is very helpful.

By Joan C

•

Jul 19, 2023

Great course, gives you a deep understanding of how linear, multi-linear, polynomial, and logistic regressions work. I just wish we got more examples and assigments using scikit-learn, instead of "building from scratch" the functions.

By Poliana V S

•

Jul 7, 2023

Very nice and well guided experience in this course. Thank you, Professor Andrew, for all your knowledge and help shared. Also loved the jokes and puns during the videos and that the codes and calculations were explicit. It helps A LOT

By Ellen W

•

Jun 6, 2023

I took this course several years ago, and it played a significant role in establishing my foundational understanding of general machine learning concepts. It is impressive to see that the course has been consistently updated over time.

By ROHIT V

•

Dec 27, 2022

An excellent course, rich in content and learning. Andrew Ng has taught everything in a simple and effective way. Good learning experience. I would recommend it to everyone who want to learn ML from scratch without any prior knowledge.

By Goyo R

•

Jul 7, 2022

Es, probablemente, el mejor curso que he realizado sobre Machine Learning.

Introduce de una manera muy sencilla conceptos centrales de la disciplina.

Mr Andrew Ng es un gran profesor, realmente he disfrutado mucho de esta experiencia.

By Ali Z

•

Jul 26, 2024

Supervised ML: Regression and Classification on Coursera was excellent. The course content was clear, and the practical examples made complex concepts easy to understand. Andrew Ng’s teaching style is outstanding. Highly recommended!"

By Thomas R

•

Feb 11, 2023

The explanations in this course are very good and I really managed to understand everything, which I think is remarkable by a topic like machine learning that is at least perceived to be very complicated. Thanks for this great course!

By Ramesh B J

•

Jul 23, 2022

I really appreciate the course instuctor and tutors for putting such efforts to simplify the concepts and algorithems to even understant the non background studnets in Machine Learning. I thank everyone who is part of DeepLearning.AI.

By shuyen w

•

Feb 25, 2025

Clear intuition and logic instructed on ML regression and classification; detail optional labs for python coding. Even though I am not a complete beginner level, I still benefit a lot from this course. I highly recommend this course.

By Vaibhav S

•

Jul 24, 2023

Everything in the course is so perfectly designed. Andrew Ng is so good at teaching. Much respect to him and his work. Start to end everything was explained perfectly in depth. Now I know where to go for AI and ML courses. Thank you.

By Gaurav S

•

Jul 3, 2023

amazing course. there was everything one can know about linear as well as logistic regression in this course. amazig way to prepare yourself for industrial standards of research work. Thank you everyone who made this course possible.

By Alex T

•

Jun 26, 2023

Thank you Andrew and the team, great course, super clear, well structured, perfect labs. I'm not into ML at all however I am a developer, and I have math background (well, I had, 25 yrs ago). Was very interesting, I got all concepts.

By pl

•

Jun 6, 2023

Andrew's focus on imparting the intuition and going through some of the math has been a significant step forward for me. This is not my first online course but the most remarkable given the focus on some of the math/theory/intuition.

By BCSF20A007-QANBAR I

•

May 27, 2023

This course is really really helpful as I learnt the basics of Machine Learning in much easy way and practicing the algorithm by my own. and Now Looking forward to learn something more interesting from the one and only Sir Andrew NJ.

By Daniel Y

•

Apr 16, 2023

Andrew is such as great teacher. I've taken a few different machine learning courses but never had one explained this clear for some of the fundamental theory and math behind it while also go as deep as this course at the same time.

By Nitin C

•

Mar 6, 2023

The course was fantastic. Cleared all my doubts about Machine Learning implementation. Now I stand much confident regarding the concepts and coding exercises, including the inner workings of any classification or regression problems.

By Saomyaraj J

•

Mar 6, 2023

This will surely help me in near future to create and develop many more such models. Coursera is a well-known and reputable online learning platform that offers a wide range of machine learning courses taught by experts in the field.

By Chenyi L

•

Jul 31, 2022

very glad to see a lot of programming examples in Python from the course, which is really helpful for learners like me who is new to Python and speeds up learning ML and at same time learning programming in Python. I love the course.