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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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4676 - 4700 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Mariam L

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Aug 31, 2022

perfect

By Lasha L

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Aug 20, 2022

exelent

By Motez M

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Aug 3, 2022

so good

By 胡金榜

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Jul 15, 2022

great!!

By Seong H P

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Jul 15, 2022

Awesome

By Raman C

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Jun 29, 2022

awesome

By Hakia S

•

Apr 2, 2025

使我受益良多

By Κωνσταντίνα Δ

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Feb 1, 2025

Great!

By Alizay Y

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Jan 1, 2025

thanks

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Dec 20, 2024

Thanks

By Marco T Á C

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Oct 24, 2024

Superb

By Amit A

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Dec 14, 2023

Great.

By Sarfaraz A K

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Dec 4, 2023

amaing

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Nov 9, 2023

Thanks

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Sep 25, 2023

Great!

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Sep 4, 2023

thanks

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Jun 2, 2023

great!

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May 12, 2023

Great!

By Barno B

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May 8, 2023

best b

By Renato A V e T

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Feb 18, 2023

Great!

By Albert A

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Jan 10, 2023

Great!

By Maaz M

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Dec 3, 2022

Superb

By Mehfuz Z

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Oct 29, 2022

Great

By Rahul R

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Oct 17, 2022

Great

By YUG J

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Oct 10, 2022

Best.