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
30,316 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 24, 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 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.

Filter by:

2451 - 2475 of 5,743 Reviews for Supervised Machine Learning: Regression and Classification

By Kashif M

•

Sep 17, 2023

Great to learn the interesting mathematics behind the basic ML algorithms!

By A S C

•

Jul 4, 2023

Everything's fine but the programming assignment had lot of flaws in it...

By Karim D

•

May 11, 2023

Great course for basics. I personally used it as a refresher of my basics.

By Robert B

•

May 11, 2023

Fantastic content delivered well with helpful visualization along the way.

By Om S D

•

May 4, 2023

Really got a different viewpoint on ML and that it's not just mathematics.

By Jakir H

•

Apr 13, 2023

Wonderful course! Learned a lot of concepts with practical implementation.

By Yannick I G

•

Apr 6, 2023

The details and the in-dept material really makes this course a must take.

By Satish

•

Mar 18, 2023

Thank you for all the hardwork in curating such an amazing course.. kudos!

By Thejas R

•

Feb 13, 2023

Absolute best course for beginners to learn the basics of machine learning

By Sam L

•

Jan 3, 2023

Great for beginners intreated in AI, but haven't really programmed before!

By Ricky

•

Oct 23, 2022

It's an amazing course. It's very useful to me. I like it very very much.

By Min K

•

Oct 22, 2022

This course covers well about linear regression and logisitic regression.

By Venu m

•

Oct 12, 2022

Thank you very much. Absolutely enjoyed and learned a lot in this course.

By 34 S

•

Sep 14, 2022

The instructor explained very well and grabbed our attention in lectures.

By Juan L

•

Sep 12, 2022

Combined with practical assignments, everything gets more understandable.

By Sandeep D

•

Sep 7, 2022

Excellent course content by Andrew Ng Sir. His way of teaching is awesome.

By Mehrab A

•

Sep 2, 2022

it was very good course for learning regression and classification basic !

By Amirhasan A

•

Aug 24, 2022

This course is one of the best and I liked this course and learned so much

By Uğur B

•

Aug 14, 2022

Great course. Even if you are not new to ML this is a good course to take.

By ahmed m a e a

•

Jul 27, 2022

That's a great course.

thanks to Andrew Ng, Deeplearning.ai, and Standford.

By MD. M I 1

•

Sep 26, 2025

Very well structured and easy to understand lectures with practical labs.

By El B S E

•

Sep 26, 2025

Perfect explications and simple examples made it an easy subject to study

By Dennis L

•

Sep 15, 2025

Just about perfect level (for me) of theory, programming and explanation.

By ps s

•

Sep 3, 2025

An excellent explanation of the basics, very much needed for ML knowledge

By Jiho K

•

Jan 20, 2025

As a beginner, i can't imagine a better lecture to start with. Thank you.