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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
30,836 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

MA

Jan 28, 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 糖心vlog官网观看.

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.

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3226 - 3250 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By 旯�臧曤偍

鈥�

Jul 14, 2022

Recommend to get intuition of supervised learning

By Mateus B

鈥�

Jul 4, 2022

Excellent course, amazing didactic and material!!

By 毓亘丿丕賱賱賴 丕

鈥�

Oct 18, 2025

Clear methodology in explanation and deep detail

By Weebubaka

鈥�

Jul 21, 2025

Just exceptional. I can't thank you guys enough.

By Saatwik U

鈥�

Jun 26, 2025

Very well structured and it is super interesting

By Lucas V T

鈥�

Jun 2, 2025

the most explained course with the best teacher!

By duc t l

鈥�

Apr 17, 2025

easy to understand, teach the fundamentals of ML

By AAKASH P

鈥�

Mar 29, 2025

Its really a valuable course for AIML aspirants.

By Manoj K

鈥�

Feb 20, 2025

A clear and concise introduction to the subject.

By R膬zvan E

鈥�

Jan 28, 2025

The perfect starting point for an AI enthusiast.

By Wili A

鈥�

Jan 21, 2025

Good course, systematic, and easy to understand.

By 13 0

鈥�

Jan 3, 2025

The best course to start with your journey in ML

By Rahma A

鈥�

Dec 21, 2024

I really like the course . Thank you Andrew Ng !

By Franco M

鈥�

Nov 2, 2024

Extremely clear and easy to follow explanations!

By Ashutosh G

鈥�

Sep 26, 2024

Fantastic explanations! Glad to go through these

By JEFFERSON A E G

鈥�

Aug 21, 2024

Excellent course to introduce in the world of ML

By Muhammad K

鈥�

Jul 14, 2024

Amazing Introductory Course for Machine Learning

By Reginaldo C

鈥�

Feb 12, 2024

I am really amazed by the quality of the course.

By E.R.M.S. S

鈥�

Jan 13, 2024

Really Good foundational knowledge giving course

By Vinay K

鈥�

Nov 11, 2023

great hands on experience with the practice labs

By Scott P

鈥�

Oct 18, 2023

Excellent introduction to the fundamentals of ML

By Zahid M

鈥�

Oct 7, 2023

it was very fun and interesting course by Andrew

By Bilkisu I

鈥�

Sep 6, 2023

The best introduction to machine learning course

By Ronald C

鈥�

Sep 6, 2023

Excelente el contenido y la metodolog铆a. Gracias

By pom R C

鈥�

Jun 18, 2023

wonderful course this is. sir is extra ordinary