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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
31,517 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

AA

Apr 30, 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.

WB

May 24, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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4851 - 4875 of 5,960 Reviews for Supervised Machine Learning: Regression and Classification

By Dominique C

•

Feb 7, 2023

just perfect

By aybars d

•

Jan 29, 2023

veery useful

By sohan p

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Jan 26, 2023

Great course

By Fady S

•

Oct 14, 2022

great intro

By Gunaratne V

•

Oct 13, 2022

good course

By AOUJANA A

•

Oct 11, 2022

very useful

By Subhan N

•

Oct 6, 2022

Phenominal!

By Ali G

•

Sep 21, 2022

Magnificent

By Đạt N

•

Sep 5, 2022

good course

By Prathima

•

Sep 4, 2022

very helpful

By Ehsan [ G

•

Sep 2, 2022

Excellent!!!

By Angelo A

•

Aug 31, 2022

Great course

By Ruichen z

•

Aug 7, 2022

That's great

By A s

•

Jul 26, 2022

great course

By Đạt N

•

Jun 30, 2022

it's so good

By Sanchit J

•

Jun 29, 2022

Great Course

By Caio M

•

Dec 16, 2025

Muito bom!!

By Bibin M

•

Dec 14, 2025

very useful

By Atif

•

Dec 6, 2025

EXCEPTIONAL

By Bhawesh

•

Nov 18, 2025

best course

By ALI A

•

Nov 9, 2025

best course

By Varun N G .

•

Sep 25, 2025

Nice course

By Ngô T T

•

Sep 8, 2025

good course

By Valeria C M

•

Aug 25, 2025

Really nice

By putra f

•

Aug 7, 2025

best course