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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
27,974 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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!!

AD

Nov 24, 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.

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4076 - 4100 of 5,354 Reviews for Supervised Machine Learning: Regression and Classification

By 1DS21AI001 A N A

鈥�

Nov 17, 2022

Excellent course!

By Sudip S C

鈥�

Oct 26, 2022

Excellent course!

By Chase P

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Oct 25, 2022

Wonderful course

By Yue C

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Oct 20, 2022

I love the lab !

By Sonu G

鈥�

Oct 13, 2022

Wonderful Course

By Santiago B G

鈥�

Oct 7, 2022

Amazing teaching!

By ehsan k

鈥�

Oct 6, 2022

Simply the best!

By GU F

鈥�

Sep 18, 2022

nice for freshman

By Samarth C

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Aug 28, 2022

Very nice course.

By Florence P

鈥�

Jul 10, 2022

Very well taught!

By LIKITHA C B 2

鈥�

Jul 6, 2022

Very informative!

By Hritik A

鈥�

Jun 30, 2022

Very Nice Content

By Fernando A

鈥�

Jun 29, 2022

Excellent course!

By AKSHAT K

鈥�

May 4, 2025

Very good course

By Timileyin D

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Apr 14, 2025

Excellent course

By Farhan A

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Apr 1, 2025

Excellent course

By smartcast C

鈥�

Dec 29, 2024

Best course ever

By Divya S

鈥�

Nov 17, 2024

excellent course

By Aya B

鈥�

Nov 3, 2024

tres interessant

By Antoine L N

鈥�

Oct 10, 2024

Excellent Course

By Edward J D

鈥�

Oct 8, 2024

Very math heavy!

By Kavya L

鈥�

Oct 7, 2024

very informative

By Aryan S

鈥�

Oct 4, 2024

amazing concepts

By Deep G

鈥�

Sep 23, 2024

Very good course

By Ridmika.K.H

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Sep 23, 2024

Brilliant course