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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
30,785 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

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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Nov 24, 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.

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2926 - 2950 of 5,827 Reviews for Supervised Machine Learning: Regression and Classification

By Dmytro A

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Aug 16, 2022

Useful, well structured and technically supported course.

By Karim A

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Aug 8, 2022

very good as start with clear explanation and good quizes

By 조원옥

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Oct 4, 2025

굳 중요개념만 짧게 알아가기 좋은듯 랩을 보며 코드 흐름보며 독학하며 빠진 실습부분 채울 수 있었다.

By Nelu R

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Sep 23, 2025

Very useful for those looking for an introduction to ML.

By Zytion F

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Jun 17, 2025

A very fundamental and helpful course! Thank you Andrew!

By Kristiyan D

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Mar 26, 2025

It is good for the basic understanding of the algorithms

By Marina D

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Mar 21, 2025

Very informative class, but hard to memorize right away.

By Chandana H K

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Feb 1, 2025

One of the best courses I have come across. Very helpful

By Nitesh K

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Jan 3, 2025

Incredible Course the way tutor teaches exceptional well

By Leila ( L

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Dec 21, 2024

I love Andrew he is so fun and he explain things so well

By Ernesto J O M

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Dec 18, 2024

Nice explanation and good exercises. Excellent Material.

By Olle T

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Jul 8, 2024

Very much what I wanted. Perfect level. Andrew is great.

By Sezai U O

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Jul 4, 2024

Really good for understanding the logic and math behind.

By Preethesh P

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May 25, 2024

Great teaching,Thank you Andrew NG sir and coursera team

By Abdelrahman O

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Apr 3, 2024

A very good course to understand the fundamentals of ML.

By fareed u

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Mar 12, 2024

amazing course and very easily and efficiently explained

By Sanjay F

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Feb 1, 2024

Excellent Course. Please keep launching topical courses,

By ViaLabsDigital - A d I

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Jan 10, 2024

This course is fundamental for studying machine learning

By Younas K

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Jan 1, 2024

Great course first up, beginner friendly but insightful.

By sandeep s

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Dec 4, 2023

IT WAS ONE OF THE BEST COURSE OUT HERE THAT ONE CAN GET.

By Diego E M S

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Jun 23, 2023

Great course but I would to like more deep in the topics

By Hussamuddin S

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Jun 10, 2023

Amazing! helped my Machine learning concepts to improve!

By Sungbo S

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May 21, 2023

Best Ever, More than University.... THANK YOU SO MUCH!!!

By Gaurav B

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May 1, 2023

Very intuitive and in-depth. Learned a lot of new things

By Nitin G

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Feb 26, 2023

Good course for beginners with all foundational details.