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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
32,121 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.

DB

May 31, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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4376 - 4400 of 6,057 Reviews for Supervised Machine Learning: Regression and Classification

By João G

•

Jul 13, 2023

Muito bom este curso!

By Allayen S

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May 13, 2023

Excellent, very clear

By Hazem R

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May 9, 2023

This course is greate

By Zhixuan Z

•

Apr 9, 2023

Very inspiring intro!

By PEDRO A

•

Mar 13, 2023

Incrível e muito bom.

By GuoCheng W

•

Mar 6, 2023

wonderful experience!

By JUMONG E

•

Feb 22, 2023

The content was clear

By SUMAN S

•

Nov 16, 2022

very nicely explained

By Anil P S

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Sep 21, 2022

The course was goodgo

By Roberto M

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Sep 19, 2022

A must for starters!

By Md I H H

•

Aug 8, 2022

It's the best course.

By Alireza K

•

Jul 27, 2022

The best course ever.

By Yên H

•

Jan 28, 2026

KHóa học rất bổ ích.

By Yousef M

•

Dec 21, 2025

Really, Great Course

By sulis t

•

Nov 22, 2025

Ilmu yang bermanfaat

By VEDANT A

•

Oct 14, 2025

VERY GOOD FOR BASICS

By Thiago C M S

•

Aug 13, 2025

Muito bem explicado!

By Uday S

•

Aug 1, 2025

Exceptional clarity.

By Viraj M

•

Jul 12, 2025

Perfectly structured

By Semih S

•

Mar 17, 2025

thanks for education

By Kushvinth M

•

Feb 20, 2025

This changed my life

By İbrahim S B

•

Feb 8, 2025

very good and useful

By Meet P

•

Dec 12, 2024

very good teaching!!

By Hardik P

•

Oct 21, 2024

Very Detailed Coarse

By Sepanta M

•

Sep 16, 2024

mamma mia mamma cita