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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
31,517 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 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.

WB

May 23, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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3426 - 3450 of 5,959 Reviews for Supervised Machine Learning: Regression and Classification

By Mo B

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Jul 8, 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 27, 2025

Sir Andrew is the best intructor of all time

By Nayim A K

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Aug 2, 2025

Best course to set your foundations strongly

By Malin E

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Jun 29, 2025

Very good course and very clear explanations

By AleX C

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May 22, 2025

Amazing course, practical and easy to follow

By Srinivas S

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Apr 6, 2025

Excellent introduction to a complex subject.

By Hitesh D

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Mar 9, 2025

Easy to understand and great teaching method

By Shubham N K

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Feb 11, 2025

great experience learning from andrew ng sir

By Enrico G

•

Nov 3, 2024

Very good, very friendly, labs can be tough!

By Subham M

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Apr 17, 2024

great course for a bigner to get hands on ML

By hegazy a

•

Mar 2, 2024

andrew ng is the most amazing instuctor ever

By Zhida H

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Dec 30, 2023

I really enjoy the course. Thank you Andrew!

By SARVESH V

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Dec 23, 2023

I got my skill brush up widen my thinking

By PANIT S

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Dec 17, 2023

Very beginner friendly, highly recommend it!

By Thomas W

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Sep 2, 2023

Wish that this was included in Coursera Plus

By Behzad

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Aug 19, 2023

My favorite course on the platform so far!

By Volodymyr S

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Aug 17, 2023

A very good course for beginning AI journey.

By Krishna C K

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Aug 8, 2023

Amazing teaching process. Thank You, Andrew.

By XIAO Y Z

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Jul 3, 2023

The structure for the Labs are very helpful!

By Eren U

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Jun 6, 2023

Incredibly interesting and insightful course

By Ghizlan A

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May 12, 2023

j'ai apris beacouq de choses dans ce cour la