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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
27,808 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!!

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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3976 - 4000 of 5,331 Reviews for Supervised Machine Learning: Regression and Classification

By Alaa G

•

Jul 7, 2023

It's amazing course

By Twistin T

•

Mar 29, 2023

nice course for me

By doru b

•

Mar 28, 2023

Excelent Course !!!

By Siavash

•

Mar 17, 2023

fascinating course!

By Ilyas R

•

Mar 5, 2023

tres bien structure

By gulistan k

•

Feb 14, 2023

best thing ever!!!!

By Qianxin W

•

Dec 17, 2022

讲解清楚，习题和课程中测试衔接紧密，好

By hoang l

•

Oct 17, 2022

so easy for newbie

By Vishnu V

•

Sep 26, 2022

really good course

By Josue S M

•

Sep 22, 2022

very good! thanks!

By chldntjr

•

Sep 3, 2022

good teacher, thx!

By Pranoy D

•

Aug 25, 2022

Much details Course

By Jarren J

•

Aug 12, 2022

Good for beginners.

By Asim P

•

Jul 25, 2022

Thank you very much

By Pak Y H

•

Jun 22, 2022

Best online course!

By Gabriel R

•

Jun 20, 2022

Very good course :)

By Taher M

•

Feb 21, 2025

Best Course for ML

By HARSH K T

•

Feb 20, 2025

Course is amazing.

By Shayan J

•

Feb 13, 2025

i love this course

By Trung P T

•

Jan 28, 2025

perfect, wonderful

By Naveen S

•

Dec 27, 2024

best for begineers

By Vandyck A

•

Nov 9, 2024

Excellent content!

By Alikana A

•

Oct 8, 2024

THANKS TO COURSERA

By Ais K

•

Sep 15, 2024

thanks to coursera

By S G

•

Sep 7, 2024

Excellent teaching