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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
30,836 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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5776 - 5800 of 5,845 Reviews for Supervised Machine Learning: Regression and Classification

By shivam s

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Feb 26, 2023

Should also some small projects for better understanding!

By Anirudh S

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Sep 21, 2025

Asking for upgrading but got it from financial aid still

By feeZ

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Sep 25, 2024

it would be better if there were more coding experiment.

By Mohamed a a

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Jul 23, 2023

good course but i wish it was more project oriented

By G G D

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Jun 15, 2025

Good could have added evaluation metrics

By kunal s

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Jun 12, 2023

please include projects in this course.

By Boris A

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May 26, 2023

A lot of theory and a bit of practice

By Nooreldin N

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Jun 21, 2025

It needs more practical exercises.

By Muhammad U A

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May 22, 2025

kind a slow and not interesting

By Josep B P

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Dec 30, 2023

Step down from the old course.

By NITHISH K

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Jun 30, 2025

the recorded video looks old

By Islam I

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Nov 8, 2024

Concept Only no Beyond that

By Sepehr

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Mar 8, 2024

Easy to follow but useful.

By Fernando B

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Oct 23, 2023

Laborat贸rios muito b谩sicos

By Aravind N

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Jun 6, 2024

Could cover more concepts

By Kotulski G

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Aug 5, 2024

Not enough practice quiz

By Tanishka G

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Jun 19, 2025

GOOOOOD COURSE

By Harsh S

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Jun 16, 2023

average course

By Biswaraj

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Jul 3, 2024

quite good

By Donia A R A

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Jul 17, 2022

Excellent

By vivek N

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Sep 1, 2024

ok ok ok

By Krishna S

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May 22, 2024

too fast

By Kushagra G

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Oct 15, 2024

decent

By Eman E

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Feb 10, 2024

good

By Mahesh G

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Aug 22, 2023

s