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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
30,502 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

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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3101 - 3125 of 5,778 Reviews for Supervised Machine Learning: Regression and Classification

By Manoj

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Oct 10, 2023

The most adorable course you will see on Courserađź’–

By Khaled M

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Jul 21, 2023

It was a great experience with Proffessor Andrew Ng

By George A

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Jun 2, 2023

An excellent and well designed learning experience.

By Graciela F

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May 29, 2023

good teacher

all quiz is good because there's a hint

By akash a

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Apr 9, 2023

Content is good. Instructor teaches very patiently.

By Amritesh P

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Mar 12, 2023

Best course to understand machine learning in depth

By Usama 3

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Feb 21, 2023

It is absolutely best course, opened my mind on ML.

By Lance R

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Jan 19, 2023

Great introduction to ML algorithm implementation !

By Pietropaolo F

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Dec 9, 2022

Extremely interesting and well realized. Thank you!

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 4, 2022

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

By Juan C B M

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Aug 4, 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 Suyash G

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Jul 18, 2025

Absolute no brainer for a beginner in this field!!

By Shaurya T

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Jun 5, 2025

Great curriculum, great graphics and great teacher

By Marek Ĺ»

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May 31, 2025

Very well explained, I'm looking forward for more!

By Ekram F

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Apr 21, 2025

very very very perfict, It's a good starting point

By Sandra D

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Jan 24, 2025

Great course to get started with Machine Learning!

By Washington A

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Jan 18, 2025

Conteúdo extremamente objetivo, focado e didático!

By Mohsin K

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Jan 6, 2025

A good course for anyone who want to start with ML