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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
27,938 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.

AD

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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3126 - 3150 of 5,345 Reviews for Supervised Machine Learning: Regression and Classification

By Ahmet K (

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Dec 26, 2022

Great course to learn the fundamentals of ML.

By SAHLI M

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Dec 1, 2022

Great course with great instructor, thank you

By Muhammad S I

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Nov 14, 2022

Very informative and full of knowledge course

By pratik

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Aug 28, 2022

For getting into ML, this course is perfect!!

By wroanee f

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Aug 21, 2022

Meets the needs and the expectations totally!

By Ting H

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Jul 24, 2022

it is a good start for deep learning material

By Mo B

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Jul 9, 2022

All I can say is that the course is exquisite

By Srinivas S

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Apr 7, 2025

Excellent introduction to a complex subject.

By Hitesh D

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Mar 10, 2025

Easy to understand and great teaching method

By Shubham N K

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Feb 12, 2025

great experience learning from andrew ng sir

By Enrico G

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Nov 3, 2024

Very good, very friendly, labs can be tough!

By Subham M

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Apr 17, 2024

great course for a bigner to get hands on ML

By hegazy a

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Mar 2, 2024

andrew ng is the most amazing instuctor ever

By Zhida H

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Dec 30, 2023

I really enjoy the course. Thank you Andrew!

By SARVESH V

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Dec 24, 2023

I got my skill brush up widen my thinking

By PANIT S

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Dec 18, 2023

Very beginner friendly, highly recommend it!

By Thomas W

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Sep 3, 2023

Wish that this was included in Coursera Plus

By Behzad

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Aug 20, 2023

My favorite course on the platform so far!

By Volodymyr S

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Aug 18, 2023

A very good course for beginning AI journey.

By Krishna C K

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Aug 9, 2023

Amazing teaching process. Thank You, Andrew.

By XIAO Y Z

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Jul 4, 2023

The structure for the Labs are very helpful!

By Eren U

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Jun 7, 2023

Incredibly interesting and insightful course

By Ghizlan A

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May 13, 2023

j'ai apris beacouq de choses dans ce cour la

By Jai S K S C S

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May 8, 2023

Loved the course and Andrew was just amazing

By Akshay P

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Apr 12, 2023

It was such a good and well mannered course.