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

4.9
stars
32,121 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.

DB

May 31, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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4576 - 4600 of 6,057 Reviews for Supervised Machine Learning: Regression and Classification

By Deleted A

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Sep 21, 2025

excellent course

By Rohit I

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Sep 18, 2025

good information

By Quốc V P

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Sep 3, 2025

Cam on rat nhieu

By Raksha C C

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Aug 12, 2025

very nice course

By Zineb H

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Aug 12, 2025

very good course

By Bhavy R

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Jul 29, 2025

very good course

By Rajvardhan S

•

Jul 16, 2025

fantastic course

By Omelian

•

Jun 16, 2025

best course ever

By Ilyas N

•

Jun 11, 2025

very good course

By AKSHAT K

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May 4, 2025

Very good course

By Timileyin D

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Apr 14, 2025

Excellent course

By Farhan A

•

Apr 1, 2025

Excellent course

By smartcast C

•

Dec 29, 2024

Best course ever

By Divya S

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Nov 17, 2024

excellent course

By Aya B

•

Nov 3, 2024

tres interessant

By Antoine L N

•

Oct 10, 2024

Excellent Course

By Edward J D

•

Oct 8, 2024

Very math heavy!

By Kavya L

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Oct 7, 2024

very informative

By Aryan S

•

Oct 4, 2024

amazing concepts

By Deep G

•

Sep 23, 2024

Very good course

By Ridmika.K.H

•

Sep 23, 2024

Brilliant course

By amirreza k

•

Sep 17, 2024

Extremely useful

By Prajwal A

•

Sep 14, 2024

very good course

By NAVJOT S

•

Aug 31, 2024

Excellent Course

By faris t

•

Aug 30, 2024

Amazing course!!