Chevron Left
Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
31,957 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 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.

KB

Dec 6, 2024

I was completely new to Machine learning. It is an excellent course for complete beginners. Python codes are also downloadable and can be used for further reading another time. Very Very nice course!

Filter by:

5426 - 5450 of 6,027 Reviews for Supervised Machine Learning: Regression and Classification

By Mert T

•

Oct 2, 2025

wow

By Амирбек Н Ғ

•

Apr 20, 2025

фчы

By Carloka B A S M

•

Oct 27, 2024

...

By Onalenna E M

•

Jun 7, 2024

10.

By Daniel D

•

Apr 15, 2024

amz

By Márcio A C B Z

•

Mar 18, 2024

Top

By Markelov G M

•

Nov 22, 2023

Top

By Ahmed A

•

Jul 18, 2023

wow

By Alok D

•

Jan 29, 2026

NA

By Bo Y

•

Nov 17, 2025

牛逼

By do v

•

Mar 1, 2025

ok

By Vikas

•

Oct 13, 2024

no

By Edeki M E

•

Sep 29, 2024

ok

By 石天辰

•

Apr 17, 2024

很好

By Putu G P A

•

Apr 3, 2023

:)

By 王家乐

•

Dec 30, 2022

很好

By atiye g

•

Nov 12, 2022

ok

By Jaber

•

Aug 10, 2022

<3

By Lakshya S

•

Dec 9, 2025

-

By Shashi S

•

Jan 8, 2025

5

By bowen y

•

May 25, 2024

好

By Fatema K A

•

Apr 23, 2024

-

By Mohamed A A

•

Apr 15, 2024

♥

By Ujjawal J

•

Aug 10, 2023

m

By SAI R

•

Jun 17, 2023

.