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
30,785 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 13, 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!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

Filter by:

5251 - 5275 of 5,826 Reviews for Supervised Machine Learning: Regression and Classification

By Sayem B

•

Jul 26, 2022

good

By Mert T

•

Oct 3, 2025

wow

By Амирбек Н Ғ

•

Apr 21, 2025

фчы

By Carloka B A S M

•

Oct 28, 2024

...

By Onalenna E M

•

Jun 7, 2024

10.

By Daniel D

•

Apr 16, 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 Ahmed Y F H

•

Oct 22, 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 31, 2022

很好

By atiye g

•

Nov 12, 2022

ok

By Jaber

•

Aug 10, 2022

<3

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

.

By Luiz A

•

Sep 12, 2022

v