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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
30,006 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

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

ED

Apr 13, 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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3426 - 3450 of 5,694 Reviews for Supervised Machine Learning: Regression and Classification

By Falguni R

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Mar 19, 2023

very helpful to understand all the topics

By Shixin Q

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Feb 26, 2023

讲的非常仔细，我建议都跟着做每一个练习

要是有课件PowerPoint可以下载就好了

By Frank L

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Jan 8, 2023

A whole new world is opening up to me now

By Sheharyar

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Jan 2, 2023

Best ML course ever I learn. Thank you 😊

By ARYAN A 2

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Dec 9, 2022

It was one of the best course i ever took

By Hu y

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Dec 5, 2022

Awesome! Very pleasant trip for learning~

By Michael K

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Oct 31, 2022

The best place to begin your ML journey!

By Bảo T G

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Sep 12, 2022

Best Machine Learning Course for Beginner

By Omar H

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Aug 16, 2022

Awesome, The best courses I've ever taken

By Ricardo C E

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Jul 19, 2022

Very Easy to understand complex concepts.

By Kunal M

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Aug 13, 2025

Very nice indepth and easy to understand

By Asmi A

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Jul 9, 2025

Andrew Ng explained concepts profoundly!

By BAIJ S

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Jul 9, 2025

Wonderful my knowledge has been enhanced

By Venna S r

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Mar 31, 2025

I am andrew ng absolute the best teacher

By Shivam J

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Mar 28, 2025

Excellent Cource I Learned a Lot From It

By sambhav s

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Jan 2, 2025

Loved the maths part , labs are too good

By ZH W (

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Oct 1, 2024

very nice combination of math and coding

By T T V

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Sep 24, 2024

It is very fruitful. Highly recommended.

By Devendra J

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Jul 5, 2024

the best course for starting to learn ML

By Mario I E D

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Jul 4, 2024

Learning rate was as smooth as possible!

By Shanuka D

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Jun 3, 2024

One of the best courses I've enrolled in

By Shubham T

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Jun 1, 2024

The concept was taught very effectively.

By Josep M

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May 12, 2024

It is an introductory course. A good one

By random u

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Jan 8, 2024

Learned a lot in a short period of time.

By Reza F

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Jan 6, 2024

You are explaining simply! that's great!