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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
31,957 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.

KB

Dec 6, 2024

I was completely new to Machine learning. It is an excellent course for complete beginners. Python codes are also downloadable and can be used for further reading another time. Very Very nice course!

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5051 - 5075 of 6,027 Reviews for Supervised Machine Learning: Regression and Classification

By R. H G

•

Jun 27, 2025

excellent

By Saikumar J

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Jun 14, 2025

very Good

By Mohammad Z N

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Jun 5, 2025

Excellent

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Apr 7, 2025

excellent

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Mar 10, 2025

Excellent

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Mar 5, 2025

excellent

By Abdelwahed A

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Feb 17, 2025

Excellent

By Eeraj A R

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Feb 16, 2025

loved it!

By Tran V

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Feb 10, 2025

Amazing!!

By Abbas K P 2

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Feb 3, 2025

excellent

By Liu Y

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Jan 16, 2025

very good

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Jan 8, 2025

Excellent

By Veronica M

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Jan 4, 2025

Excelente

By Anand T

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Dec 23, 2024

Excellent

By Anuj D

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Nov 22, 2024

amazinggg

By Tùng T H

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Nov 10, 2024

Excellent

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Nov 3, 2024

Excellent

By Md. R H K R G

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Oct 27, 2024

very good

By M. R A

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Oct 23, 2024

Very good

By Sindhu G

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Oct 22, 2024

very good

By Banoth J

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Oct 9, 2024

excellent

By Humberto A P D

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Oct 8, 2024

Muy bueno

By Mudit r S

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Oct 5, 2024

excellent

By Hazel L

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Oct 1, 2024

very good

By 金恒

•

Sep 27, 2024

very nice