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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
27,853 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 14, 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!!

FA

May 25, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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4651 - 4675 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Dominic H

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Feb 1, 2024

so good

By Karan J

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Jan 13, 2024

Amazing

By Nuoyue X

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Jan 5, 2024

awesome

By Huzaifa B H

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Jan 4, 2024

Amazing

By Mohammad A

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Dec 24, 2023

best ml

By Emad E

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Dec 8, 2023

Amazing

By Aditya C

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Oct 15, 2023

Awesome

By Keyvan R

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Oct 12, 2023

perfect

By Nadhem B

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Sep 28, 2023

perfect

By Anas I E

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Sep 9, 2023

Perfect

By SHANKAR K

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Aug 13, 2023

Awesome

By Phước N C

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Aug 10, 2023

amazing

By Tayyip C

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Aug 9, 2023

perfect

By BigBoy_Harish

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Aug 6, 2023

poggers

By Bikash K

•

May 19, 2023

LOVE IT

By 无恶不作丶蔡徐坤

•

May 19, 2023

Perfect

By Vu X M

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Apr 23, 2023

amazing

By Indriana N

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Apr 5, 2023

amazing

By Vatsal S

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Apr 3, 2023

niceeee

By Vladimir B

•

Mar 26, 2023

Supper!

By davidwangca

•

Feb 19, 2023

Super!!

By Anas H

•

Feb 14, 2023

love it

By Sebastian S

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Nov 19, 2022

love it

By Abdelatif H

•

Oct 30, 2022

Thanks

By محمد ا

•

Sep 21, 2022

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