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
30,757 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

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

Filter by:

2351 - 2375 of 5,821 Reviews for Supervised Machine Learning: Regression and Classification

By Isaac C J

•

Dec 27, 2023

Thank you to everyone that was involved in developing and creating this course!

By Ershad S

•

Aug 26, 2023

Solid 5! Thank you so much Andrew and team! Awesome job! Appreciate all you do!

By Sam S G

•

Apr 6, 2023

it was a perfect course for me to start learning about machine learning basics.

By SVASTIK K

•

Mar 10, 2023

The best course out here for a beginner to step into field of Machine learning.

By Davin D B

•

Nov 5, 2022

Great course to learn the foundation of machine learning (supervised learning)

By Ben P

•

Oct 28, 2022

Very well presented that even the not so mathmatically inclined can understand

By Jaswanth R

•

Oct 2, 2022

Highly recommend this course to everyone . It covers all the basics very well.

By Adeel H

•

Jul 22, 2022

Very well explained and also sufficient optional lab to give more clear picture

By Krishalika R

•

Jul 17, 2022

A good course even for beginners. Optional and practice labs are well designed.

By Rafael d F L

•

Jul 15, 2022

curso básico, não recomendo para quem já estuda machine learning há algum tempo

By Masoud S

•

Jul 11, 2022

Clean, high quality, orderly, neat, to the point, no redundancy, no confusion.

By Abdul B H

•

Sep 12, 2025

Very clear, beginner-friendly course with excellent explanations by Andrew Ng!

By Abhay V

•

Nov 15, 2024

Best introduction to AI models. Thoroughly enjoyed every moment of the course.

By Roman M

•

Feb 28, 2024

Good background knowledge. I'd supplement this with an ML focused math course.

By Txema F

•

Dec 7, 2023

Excelente aproximación al machine learning para conocer todos sus fundamentos.

By Antoine C

•

Nov 4, 2023

Amazing course ! This is very well designed congratulations to all the team !

By Christopher D

•

Oct 16, 2023

The professor who presented it was great!!! Really liked his style of teaching

By Reyhaneh D

•

Sep 18, 2023

The course content was really helpful. The course material was easy to follow.

By Rishav

•

Aug 8, 2023

One of the best course I have ever came across. Absolutely beginner friendly.

By ÖMER Ö

•

Jul 20, 2023

it was really a very productive course and thank you very much for this course

By BoonHwa T

•

Jun 27, 2023

Excellent course instructor and materials. Very practical and easy to follow.

By Milton G

•

Jun 21, 2023

Very good course and Sir Andrew did great job as an instructor in this course.

By Hamidreza K

•

May 12, 2023

It really was a great course for me with perfect teaching thanks to Andrew Ng.

By Arunava s

•

Apr 14, 2023

AN EXCELLENT WAY TO BEGIN YOUR WAY INTO THE MACHINE LEARNING AND DEEP LEARNING

By Satyajit S

•

Feb 1, 2023

Andrew Sir is the best. This course is extremely helpful for students like me.