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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
30,880 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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

MA

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

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.

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4276 - 4300 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Thorben B

鈥�

Sep 6, 2024

Great course! Bravo!

By Jahid h

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Aug 27, 2024

This is the best One

By Adarsh S

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Aug 19, 2024

Excellent Experience

By Genghis L

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Aug 3, 2024

Clear and Structural

By furqan j

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Jul 29, 2024

what a man Andrew Ng

By mohamed f

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Jul 11, 2024

the best course ever

By Abdullah A

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Jun 29, 2024

Recommended for alll

By Jyhjeng D

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May 10, 2024

Very inspiring class

By Parshva M

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Apr 19, 2024

coding was intensive

By Shubham D G

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Feb 26, 2024

Superb design course

By sulaiman s y m

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Feb 14, 2024

is very great course

By Debasis N

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Jan 28, 2024

Thanks Andrew NG! 鉂わ笍

By lion

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Nov 14, 2023

Thank you so much :)

By Muhammad O

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Oct 7, 2023

Excellent Experience

By A S M S I

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Sep 24, 2023

Andrew Ng is awesome

By abhi c

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Sep 8, 2023

Very well structured

By MUHAMMAD U

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Jul 22, 2023

very nice experience

By Mirza Y s B

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Jun 20, 2023

Pretty wellexplained

By Christoph M

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May 12, 2023

Fantastic instructor

By Umang T

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Apr 25, 2023

Simple yet on point!

By Matthew B

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Feb 15, 2023

I really enjoyed it.

By Heitor A A M

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Feb 5, 2023

The best course ever

By Ifeoluwa F

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Jan 18, 2023

Great Course Overall

By Shuvam M

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Dec 1, 2022

love this course sir

By Alan

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Oct 6, 2022

Very well explained!