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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
27,853 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

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!!

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.

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4601 - 4625 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By 李嘉洋

•

Sep 16, 2023

非常好，浅显易懂

By f_mirzaiy

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Jul 11, 2023

fabulous

By Ajaykumar J

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Jun 29, 2023

all good

By Anmol P

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Jun 28, 2023

Awesome!

By Muh. I A

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Jun 9, 2023

Amazing!

By Aladum K

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May 10, 2023

splendid

By Alireza T

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Apr 19, 2023

Awesome!

By 廖润龙

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Mar 28, 2023

易懂且讲的很深刻

By JuHo S

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Mar 26, 2023

goood!!!

By Hiếu N

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Feb 14, 2023

worth it

By Oluwasegun E

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Dec 22, 2022

Splendid

By Bill D

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Dec 2, 2022

Amazing!

By Ritwik B

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Nov 16, 2022

Awesome.

By Ebenezer A

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Nov 15, 2022

Perfect!

By Roya A

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Nov 8, 2022

perfect!

By Amir H

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Oct 27, 2022

Amazing

By Josh P

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Oct 1, 2022

Amazing!

By Bardiya R

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Sep 21, 2022

concise

By 杨东海

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Sep 18, 2022

Perfect

By Andrew K

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Aug 6, 2022

So good!

By Anh T N

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Jul 14, 2022

fantasic

By MOHAMMED A Y B

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Apr 19, 2025

Perfect

By Khaled Z

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Apr 6, 2025

perfect

By Shrey J

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Feb 22, 2025

amazing

By Adria M

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Feb 8, 2025

Amazing