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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
26,466 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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3101 - 3125 of 5,144 Reviews for Supervised Machine Learning: Regression and Classification

By Babar S

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Sep 27, 2023

This is an excellent course for beginners.

By Suresh C

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Sep 8, 2023

Great start for machine learning beginners

By GAURAVKUMAR P P

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Jun 17, 2023

Good Content and explanation is very well.

By AMIR U

•

May 30, 2023

very good for supervised machine learning.

By Sufyan a

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Mar 9, 2023

outstanding course designed . learned alot

By Somin G

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Jan 23, 2023

Easy to understand and to the point course

By Sanjib M

•

Nov 17, 2022

Very nice introduction to machine learning

By Daniel C J

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Nov 11, 2022

Excellent lecturer as well as the material

By salhi

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Oct 15, 2022

is greatfull, thank you so much professor

By Chrysante M

•

Sep 15, 2022

VERY EXCELLENT COURSE! CLEARLY EXPLAINED.

By Kevin A

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Aug 8, 2022

The best course I've taken in a long time!

By Kleanthis M

•

Aug 4, 2022

The best introductory course on ML by far!

By Süleyman M P

•

Jun 18, 2022

It is very basic and understandable course

By Amaro B

•

Feb 8, 2025

very good way of teacing complex concepts

By Lê Q K

•

Jan 18, 2025

super easy to understand. A great teacher

By Nitrous O

•

Oct 29, 2024

I simply just fell in love with Andrew Ng

By Michael H

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Apr 23, 2024

Really learned a lot ! Great instructor.

By Venkata S N

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Apr 21, 2024

Superb explanation and labs. Awesome job!

By Tsehay G

•

Apr 11, 2024

It's best course, I have ever never seen.

By Glenn M

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Feb 29, 2024

Good speed of videos. Excellent delivery!

By Pramod W

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Feb 4, 2024

One of the best courses I've ever studied

By Aruna R J

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Jan 29, 2024

Useful and Easy to understand. Thank you!

By Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

By AKSHAT S

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Dec 6, 2023

excellent explanation and course material

By Pedro N

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Dec 1, 2023

Short and and to the point . Great course