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

4.9
stars
26,987 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

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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.

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.

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876 - 900 of 5,220 Reviews for Supervised Machine Learning: Regression and Classification

By Maha A B

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Feb 12, 2023

i really liked the course, but because i am a beginner i will understand more about machine learning especially cost function logistics. after that, i am going to complete the next 2 courses

By Michael M

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Feb 6, 2023

Good intro to the underlying theory of regression/classification. I'd applied these techniques at a high level before, but I'd never learned how they're actually implemented under the hood.

By Anupam D

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Aug 3, 2022

I like the way jupyter notebooks are designed. It saves time on testing the code because it displays step by step what is happening and allows me to focus on the code logic implementation.

By Gabriel T

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Aug 3, 2022

Amazing course explaining the math behind the most famous algorithm. Good explanation of the gradient descent.

Thank you to Andrew Ng and his team! A bit of math background is needed though

By Siddhesh D

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Mar 14, 2025

The course starts from basic and gradually take you to another level. Great examples, detailed explanation, Assignments, Pratice with hints and last but not the least great tutor Adrew Ng.

By TC G

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Feb 16, 2024

Sufficiently in-depth to grasp the basics and do a bit of coding. Would have preferred more coding practice within the module, but most people will probably find it difficult enough as is.

By Trung K N

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Nov 19, 2023

Love the way the course was organised , passionate teacher , amazing content 10/10 , though the assigment can be implemented in a more efficient way but overall it was too good of a course

By Max L

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Jul 16, 2023

Exceptionally well-constructed course material with excellent demonstrations. Definitely had a fabulous experience with the content. It was easy to understand but elegant. Enjoyed a lot!!!

By Harshan S

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Jul 6, 2023

Thats really an amazing course to start with for a machine learning career, the course was really easy to understand and explained everything with great detail in a simpler and easier way.

By Elham R

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Aug 20, 2022

I really enjoyed taking this course. I absolutely loved the labs which were very helpful to test my understanding of the material I had just learned. Thank you to Coursera for this course!

By Vinod N

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Aug 9, 2022

Goes into the details of Logistic regression & Classification. The course is designed in a very simple and easy to understand format and Andrew sir is amazing all through out the sessions.

By Medha D

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Dec 31, 2024

This was an amazing course! It was very nice and I loved the way the material was taught. Thank you so much to Andrew Ng for putting together this experience and being an amazing teacher!

By Amit P

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Jun 9, 2024

A well planned and systematic course to get you in touch with a class of Supervised Machine learning, the labs are quite useful and helps in better understanding of the topics along with.

By Nur M H

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Mar 26, 2023

Amazingly delivered course! Very impressed. A superb educator, Andrew Ng. Using simple to understand examples, he thoroughly described every topic covered in the course. Sir, many thanks.

By Prottoy R 1

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Feb 23, 2025

I have always been weak in machine learning, I couldn't grasp most of the concepts. But finally I can understand all the concepts of linear and logistic regression thanks to this course.

By Mustafa ö

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Jul 25, 2024

I had a hesitation about the course being too simple or lacking the coding examples and experiences but I was wrong, and I am definitely going for the next course, keep up the good work!

By TUBUN J

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Jul 30, 2023

Mr. Andrew is my favourite ML teacher ever i meet. Thanks for giving me the clear knowledge about the ML as well as the way of teaching.

At last thanks for helping me in my financial aid.

By Pratham D

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Jul 26, 2023

All you need is a good teacher before taking this course I thought machine learning is not my cup of tea . I am really glad I took this course best decision I have ever taken in my life.

By Florian W

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Jul 10, 2022

Great course! I enjoyed it a lot. The pace was good and the labs were a lot of fun. I really enjoyed the interactive jupyter notebooks to play around with in order to get more intuition.

By SERGIO A C

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Jul 8, 2023

I really like to do the details. When coding you need to go to the last detail of implementation. A program that almost run and almost ready ...doesnt work. It does work when is running

By Ivo M

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May 21, 2023

One on the best instructional series I've ever seen - not only in the field of ML, but generally. The lectures and labs are perfectly balanced and allow for gradual and stable progress.

By mutuku n

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May 10, 2023

Lambent is an understatement. I thought it was difficult but it is not. Anyone can go through it. I am looking forward to completing 2 and 3 and later shift to tensorflow specialization

By Tordiah A

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Feb 20, 2023

I MUST CONFESS THAT I HAVE NOT ONLY UNDERSTOOD THE COURSE BUT I REALLY ENJOYED IT TOO.

THIS IS A COURSE WORTH ITS PRICE. THANKS TO EVERYONE WHO CONTRIBUTED TO ITS ESTABLISMENT.

THANK YOU.

By Mohammed F

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Oct 15, 2022

The One Thing I Really Love about This Course is The Instructor 'Andrew ng' is Awesome. He is Such a Good Person and I like His Smile. His Teaching Methods are Really Good. I love Him.

By Nima J

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Oct 11, 2022

It was a very interesting course! I learned a lot and was able to familiarize myself for my upcoming master thesis in the field of machine learning! I will visit the course part 2! :)