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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
32,140 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 30, 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.

AS

Jul 28, 2024

This is the best learning lesson to pave the path on AI engineering . Prof.Andrew NG is just wow and intelligent. The way he had taught every basic things with examples is the epitome to this course.

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5901 - 5925 of 6,059 Reviews for Supervised Machine Learning: Regression and Classification

By Haseeb A

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Jul 1, 2025

Fantastic

By 22501A4452 P P R

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Jul 28, 2024

Very good

By luficerg f

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Jun 5, 2023

Very good

By Nikhil N M

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Aug 17, 2022

Very Nice

By Aki

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Aug 13, 2022

Very good

By Ahmed H M

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Aug 11, 2025

great

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Oct 26, 2023

Nice!

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Feb 18, 2026

good

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Jan 27, 2026

good

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Apr 6, 2025

Good

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Mar 16, 2025

good

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Jan 30, 2025

Good

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Nov 19, 2024

nice

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Nov 17, 2024

good

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Nov 9, 2024

Good

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good

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Oct 3, 2024

good

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Sep 29, 2024

good

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Jun 21, 2024

good

By Jingyasu k L

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Apr 9, 2024

best

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Dec 21, 2023

good

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Aug 31, 2023

good

By Kshitiz B

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Jul 19, 2023

none

By Rohan M

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Jul 2, 2023

Nice

By Rahul B

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Mar 27, 2023

good