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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
27,853 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

ED

Apr 14, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

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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4551 - 4575 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Zanko Z

•

Oct 14, 2023

Excellent

By Siddharth M

•

Oct 6, 2023

Excellent

By Abdo S

•

Sep 30, 2023

fantastic

By Tuvshintur L

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Sep 5, 2023

I love it

By Sayak S

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Aug 14, 2023

very nice

By AmirHosein S

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Jul 8, 2023

very good

By Kislay A

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Jul 8, 2023

Excellent

By Jason Y

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Jul 8, 2023

wonderful

By Ehsan F

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Jun 21, 2023

Fantastic

By A7MED F

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Jun 11, 2023

fantastic

By Izuchukwu S M

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Jun 6, 2023

The best!

By Subham R

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May 22, 2023

OP Course

By Yashvardhan S

•

May 12, 2023

Excellent

By Bouthaina T

•

Apr 30, 2023

thank you

By DEEPAK K

•

Apr 25, 2023

Awesome !

By Vannsh

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Mar 29, 2023

very nice

By Sathiyalokeswaran L

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Mar 13, 2023

very good

By Sanket E

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Mar 6, 2023

damm good

By daoud t

•

Mar 1, 2023

excellent

By Rajesh T

•

Feb 28, 2023

Fantastic

By amin f

•

Jan 15, 2023

very nice

By Christian B

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Nov 27, 2022

brilliant

By Le H Q S

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Nov 14, 2022

very good

By Puneet K

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Nov 1, 2022

very good

By Tania C

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Oct 15, 2022

Amazing!