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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
31,366 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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4926 - 4950 of 5,946 Reviews for Supervised Machine Learning: Regression and Classification

By Rowan R

•

Nov 25, 2025

Well Done.

By Kevin L

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Nov 12, 2025

impressive

By Khaled E E

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Oct 16, 2025

very great

By Nguyen N H L

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Sep 14, 2025

excellence

By arvind r

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Sep 7, 2025

Best tutor

By Prabir M

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Aug 4, 2025

Insightful

By Neusa M

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Jul 28, 2025

The best !

By Corey V

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Jun 13, 2025

Very good!

By Sahan7

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Jun 8, 2025

good Couse

By ADITYA S K

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Apr 20, 2025

Best ever!

By Ahmet K

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Jan 13, 2025

Inspiring.

By Daniel M M

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Jan 9, 2025

pragmatico

By Hongyi Y

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Jan 6, 2025

Very good!

By Gavar b

•

Oct 17, 2024

next level

By Vladimir M

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Aug 30, 2024

Brilliant!

By Luciana d S E U

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Aug 28, 2024

Very clear

By Guilherme P

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Aug 8, 2024

Very good!

By Anik D B

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Aug 6, 2024

very good!

By Michel B

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May 29, 2024

Good work!

By Michał D

•

May 15, 2024

Very good!

By DaxoWiz '

•

May 9, 2024

Magnifique

By An N K

•

Mar 17, 2024

Meaningful

By Parsa N

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Mar 6, 2024

I love it!

By Ahmed A

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Feb 3, 2024

I love it!

By mojtabacode

•

Feb 1, 2024

excellent.