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

4.9
stars
27,767 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

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!!

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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1726 - 1750 of 5,323 Reviews for Supervised Machine Learning: Regression and Classification

By Nivantha M

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Jun 17, 2023

It was really well thought out course. Really enjoyed doing this course. Looking forward to the next one.

By YI-CHUNG C

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Jun 8, 2023

Easy to understand the contents. But it will be better if there are more practice labs instead of quizzes

By Max G N R

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Apr 24, 2023

I can only recommend this training. One inspiring and enjoyable way to learn more about Machine Learning.

By Nishshanka L A

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Apr 15, 2023

I have a dream to be a data scientist. This course will be good investment to achieve my future ambition.

By Jose

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Feb 19, 2023

Loved the course. Ramped up pretty quickly but very well explained with enough opportunities to practice.

By sary n

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Nov 10, 2022

Great course to break through machine learning and learn the intuition and maths behind these algorithms.

By Noel P

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Nov 10, 2022

The basics were very well taught and I gained hands-on experience coding the concepts learnt in the labs.

By Aniket s

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Aug 19, 2022

One of the best course to get introduced to the field of Machine Learning and get a idea about the course

By Cyrus C

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Aug 10, 2022

Brilliant course, really helps to get under the hood of the subject and Andrew Ng is an amazing teacher.

By Federico C

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Aug 8, 2022

Probably too simple in certain aspects. For a completely new entry in ML themes this is a perfect course.

By Julien L

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Jul 15, 2022

I learned so much ! The jupyter notebooks and the visualizations included in each of them is pure gold !

By qingshan z

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Jul 5, 2022

Very intuition and informative. Tones of useful deductions that helps understand how the algorithm works.

By Thiện N

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Apr 13, 2025

Nice course, i have learnt many things from this course about linear regression and logistic regresssion

By K.K.Pasan P

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Nov 24, 2024

i would like to do more practical things. lecturer clearly states the theories and explains them nicely.

By Daniel C

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Nov 19, 2024

Concepts are explained in a thorough and simple way that is easy to follow along with while making notes

By AK K

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Jul 31, 2024

A fairly difficult subject made easy to grasp through a simple yet super effective method of instruction

By Luis R

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Jun 25, 2024

Es un curso muy completo, con una excelente metodología pedagógica que facilita el aprendizaje práctico.

By Pawel L

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May 26, 2024

Great course! I learned a lot and enjoyed the way Andrew teaches this important and complicated subject.

By Szymon K

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Mar 19, 2024

A fascinating introduction to Machine Learning! Easy to understand and follow along. Highly recommended!

By Projects

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Feb 18, 2024

very helpful and beautifully designed lectures, helping students to gain deep insights about the concept

By Peeyush K S

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Oct 27, 2023

The course structure was great and concepts were explored both mathematically and through implementation

By mini m

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Aug 17, 2023

Thank you for this course; it was genuinely helpful and made understanding machine learning much easier.

By Rakesh S

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Mar 11, 2023

A must-have-done course if you are new to machine learning. Loved the way Andrew NG clears the concepts.

By Andrea T

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Jan 18, 2023

I could learn so much from the optional material. Thank you so much for your excellent teaching, Andrew.

By Lawrence C

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Dec 19, 2022

The class is well designed. Each video and lab explains in detail how the formula is applied. Thank You.