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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
31,768 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

AA

Apr 30, 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.

MA

Jan 28, 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.

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3426 - 3450 of 5,997 Reviews for Supervised Machine Learning: Regression and Classification

By András B

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Oct 24, 2023

Excellent course with a fantastic instructor!

By Priyanshu K S

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Aug 11, 2023

I got Exceptional clarity through this course

By Sudeep D

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Aug 1, 2023

great course for beginners in the field of ML

By Alperen D

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Jul 23, 2023

Very nice. I just need to make more exercise.

By Vivian S

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Jul 12, 2023

Excellent and motivating. Clear instructions.

By 李秉林

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Jun 25, 2023

this is the best classes for Machine Learning

By Reeshav S

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Jun 8, 2023

A brilliant course.. It's worth every penny..

By Mustafa B O

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May 31, 2023

best course for anyone wants to understand ML

By Bruh

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May 12, 2023

Very intuitive and insightful! Recommended :)

By Tapasvi B

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May 7, 2023

Very well-explained course and comprehensive.

By Gerardo C

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Apr 24, 2023

Andre Ng explains complex concepts with ease.

By Daniel A B G

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Apr 4, 2023

I loved this curse, recommended for everyone.

By LunaBaron

•

Feb 27, 2023

Excellent Introductory Course by Professor Ng

By Ahmet K (

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Dec 26, 2022

Great course to learn the fundamentals of ML.

By SAHLI M

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Dec 1, 2022

Great course with great instructor, thank you

By Shahid I

•

Nov 14, 2022

Very informative and full of knowledge course

By pratik

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Aug 28, 2022

For getting into ML, this course is perfect!!

By wroanee f

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Aug 21, 2022

Meets the needs and the expectations totally!

By Ting H

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Jul 24, 2022

it is a good start for deep learning material

By Mo B

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Jul 9, 2022

All I can say is that the course is exquisite

By Surya R

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Dec 16, 2025

amazing course with nice insights & examples

By Wassim E

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Dec 13, 2025

It was very beneficial and beginner friendly

By Sarath S

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Oct 30, 2025

Excellent Course and i enjoy every bit of it

By Eugen D

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Oct 12, 2025

Very well explained, the information sticks.

By Muhammad H T

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Aug 28, 2025

Sir Andrew is the best intructor of all time