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

4.9
stars
27,974 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.

ED

Apr 14, 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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3276 - 3300 of 5,352 Reviews for Supervised Machine Learning: Regression and Classification

By James H

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Sep 15, 2023

Really clear and friendly to beginner!!!

By John F

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Jul 26, 2023

Excellent pace and coverage of material.

By Omar A M M M

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Jul 26, 2023

excellent and neatly organized material!

By Yu K

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Jul 25, 2023

learnt a lot, lecturers are very patient

By AMIT K

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Jul 2, 2023

Very Nice Concept Understood by Andre ng

By Leo

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Jun 12, 2023

Excellent course ! Thank you very much !

By George J

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Mar 16, 2023

Great intro to machine learning concepts

By Patrick P

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Mar 14, 2023

A great course. Challenging, but doable.

By JUAN P P A

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Feb 8, 2023

Muy buen curso, el profesor es el mejor.

By Besufekad N

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Dec 31, 2022

Great topics and a great way of teaching

By Adam J

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Nov 5, 2022

Engaging content and helpful instruction

By Ahmed E

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Oct 29, 2022

The most useful course I have ever got.

By KARTIK A (

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Sep 3, 2022

i have learned a lot through this course

By Fernando Q P

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Aug 20, 2022

It's a great course, thank you very much

By 20R11A0567 B S R

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Aug 14, 2022

Excellent Course!! Amazing Instructor!!

By rahul m

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Aug 13, 2022

Very good course and easy to understand.

By Naoufal H

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Jul 25, 2022

i really like it, simpile and very handy

By 马家轩

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Jul 17, 2022

goooood！It is very friendly to the newer

By Harshil S

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Jun 30, 2022

Course content is perfect for beginners.

By Harikesh R

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Feb 19, 2025

Helped me alot to understand the basics

By Álvaro J P A

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Feb 7, 2025

Andew ng makes it easier to understand.

By Hussein

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Feb 4, 2025

i have learned so much from this course

By Shyanil M

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Nov 8, 2024

Just one line What a course on internet

By Ankith K A

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Nov 3, 2024

It was very well thought with good labs

By Noumbissi S

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Jul 16, 2024

Awesome course, clear and comprehensive