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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
27,808 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!!

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.

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2901 - 2925 of 5,327 Reviews for Supervised Machine Learning: Regression and Classification

By Ghulam M

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Nov 29, 2022

one of the outstanding course covers all the basics

By Thomas B

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Nov 18, 2022

Great course, well structured and at a steady pace.

By Rajiv R

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Nov 13, 2022

Great refresher of basic machine learning concepts.

By Prathamesh C

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Sep 21, 2022

This course is very helpful for me, a great course

By Grzegorz S

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Sep 17, 2022

Very detailed explanations, great labs and videos.

By Daian G

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Aug 5, 2022

Great course! It is all about the maths behind ML.

By Juan C B M

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Aug 5, 2022

Best course to get foundations of machine learning.

By Riddhi P

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Jul 24, 2022

Well structured course with in depth explanations !

By Kanai P

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Jun 28, 2022

Loved the pace of videos, and the programming labs.

By Sandra D P

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Jan 25, 2025

Great course to get started with Machine Learning!

By Washington A

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Jan 19, 2025

Conteúdo extremamente objetivo, focado e didático!

By Mohsin K

•

Jan 6, 2025

A good course for anyone who want to start with ML

By Vishesh B

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Jan 1, 2025

mathematically prooving should be more elaborative

By Dilanka H

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Dec 18, 2024

Nice , Super Learning Material to understand basic

By Viral D

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Jul 27, 2024

I found out to be best course for machine learning

By Julien F

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Jun 18, 2024

Awesome class and brilliant labs. Don’t skip them!

By Walter M M

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Apr 29, 2024

Excelente! Codigo y matematica muy bien explicados

By Luciano D

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Apr 8, 2024

Very broad set of concepts and learning modalities

By Michael S

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Mar 8, 2024

Outstanding course for machine learning beginners!

By Ti R S

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Dec 24, 2023

Very very good :D I'm making my own ml library now

By Hugo C

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Nov 7, 2023

Fantastic introductory course from Andrew and team

By Akshith G

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Nov 1, 2023

I Have learned many Topics in the Machine Learning

By Yuhong H

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Sep 19, 2023

Great lectures and lab, Andrew is a great lecturer

By Anatoliy B

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Sep 15, 2023

Very well prepared course. Thanks Andrew and team.

By ghassen f

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Sep 12, 2023

well explained for any level of math/coding skills