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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
28,030 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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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2576 - 2600 of 5,360 Reviews for Supervised Machine Learning: Regression and Classification

By Max O

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Mar 10, 2023

Excellent course even when the math can be considered advanced.

By Nehal B

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Mar 5, 2023

A very nice module to kickstart your ML journey as a beginner.

By hopeless s

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Feb 28, 2023

A cool course with a complete explanation of core ML algorithms

By Morteza D

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Nov 18, 2022

it was so good andrew ng is a wonderful master. i enjoyed a lot

By Fabio H

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Oct 14, 2022

One of the best courses in ML for those who are begining in ML.

By Samuel F G

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Sep 26, 2022

Really attractive and smart course, appreciations to Andrew Ng!

By Luis S

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Sep 19, 2022

A very good and beginner-friendly course. Totally recommended.

By Minh T

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Sep 18, 2022

Very useful in my specialization. Thanks for all your kindness

By Paulito M

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Sep 7, 2022

Good flow of lessons and gives a good mathematical background.

By Deepak P

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Aug 23, 2022

excellent course structure wise and teaching wise

very good labs

By Elahheh S

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Aug 12, 2022

This course answered most questions I had about classification.

By ashbab k

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Jul 21, 2022

Full theoratical and practical course especiallly for beginners

By Gero P

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Mar 20, 2025

Excelente nivel , calidad del contenido y de las explicaciones

By Lucas G

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Feb 22, 2025

Great for going over intuition, theory, statistics and coding.

By MohammedAbsar

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Sep 17, 2024

this course is giving much more knowledge of Machine Learning.

By Akhil P

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Aug 28, 2024

Excellent For Getting into the World of Machine Leaning and AI

By S C M

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Aug 17, 2024

It is very good for students who want to learn ML effectively.

By Chandana R

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Aug 5, 2024

Very simple and easy to understand, labs are the best resource

By John W

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Jul 18, 2024

Exceptional! Andrew Ng is such a great motivator and teacher!

By 21L112 - D C M

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Jul 6, 2024

Very good explaination, understood the core concepts behind it

By Pragya P

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Jun 5, 2024

This course is really helpful in building the basics concepts.

By jorge c

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Mar 12, 2024

Clear explanations and great examples to practice the concepts

By Kritika P

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Dec 18, 2023

I loved the course, it was very informative and well explained

By James C

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Dec 3, 2023

Great presentation of a difficult topic. Highly approachable.

By Amit K

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Nov 21, 2023

Clear and detailed explanation of Machine Learning algorithms.