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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
31,037 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.

MW

Dec 12, 2024

Andrew was a great teacher, explaining complicated topics in a simple and intuitive way. The programming assignments helped to put theory into practice. A great place to start learning a new field!

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5001 - 5025 of 5,882 Reviews for Supervised Machine Learning: Regression and Classification

By Yashvardhan S

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May 12, 2023

Excellent

By Bouthaina T

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Apr 30, 2023

thank you

By DEEPAK K

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Apr 25, 2023

Awesome !

By Vannsh

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Mar 29, 2023

very nice

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Mar 13, 2023

very good

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Mar 6, 2023

damm good

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Mar 1, 2023

excellent

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Feb 28, 2023

Fantastic

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Jan 15, 2023

very nice

By Christian B

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Nov 27, 2022

brilliant

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Nov 13, 2022

very good

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Nov 1, 2022

very good

By Tania C

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Oct 14, 2022

Amazing!

By Moufekkir f

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Oct 7, 2022

EXCELENT

By Master K

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Oct 2, 2022

Very Good

By Oluwabori I

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Aug 28, 2022

Intriging

By Sulaman N

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Aug 21, 2022

excellent

By 王春鹏

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Aug 15, 2022

Fabulous!

By Neel P

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Jul 25, 2022

Excellent

By Yona H

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Jul 12, 2022

Excellent

By Thành T

•

Oct 1, 2025

exellent

By Sadiq A B

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Jul 8, 2025

love it.

By Ron Y

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Jun 18, 2025

woohoooo

By Vaibhav U

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May 25, 2025

The best

By AMINE A

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Apr 7, 2025

just top