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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
27,974 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

FA

May 25, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

ED

Apr 14, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

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4826 - 4850 of 5,352 Reviews for Supervised Machine Learning: Regression and Classification

By Fitrah S

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Mar 21, 2023

cool

By Isa M I

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Mar 11, 2023

good

By Priyanshu B

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Jan 2, 2023

best

By ???

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Dec 27, 2022

Good

By Haoyang G

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Dec 25, 2022

绝对的好

By Priyanshu S

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Dec 19, 2022

nice

By Mehar H

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Nov 15, 2022

good

By Yu-Cheng C

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Nov 5, 2022

Nice

By Phillip L

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Sep 1, 2022

good

By DEVESH K B

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Aug 27, 2022

good

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Aug 22, 2022

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Aug 18, 2022

good

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Aug 12, 2022

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By Sayem B

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Jul 26, 2022

good

By Амирбек Н ?

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Apr 21, 2025

фчы

By Carloka B A S M

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Oct 28, 2024

...

By Onalenna E M

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Jun 8, 2024

10.

By Daniel D

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Apr 16, 2024

amz

By Márcio A C B Z

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Mar 19, 2024

Top

By Markelov G M

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Nov 23, 2023

Top

By Ahmed A

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Jul 19, 2023

wow

By do t v

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Mar 1, 2025

ok

By Vikas

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Oct 14, 2024

no

By Edeki M E

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Sep 29, 2024

ok

By 石天辰

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Apr 18, 2024

很好