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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
30,409 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

FA

May 24, 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.

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.

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4826 - 4850 of 5,760 Reviews for Supervised Machine Learning: Regression and Classification

By Rui J ( S / N

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Jul 19, 2022

Very good!

By Mislav P

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Jul 18, 2022

Fantastic!

By Ibrahim H M A

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Jul 15, 2022

great work

By Sagar K

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Jul 14, 2022

Thank You!

By Shivam B

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Oct 4, 2025

very nice

By Ahmed W

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Sep 18, 2025

excellent

By Alizon V

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Sep 16, 2025

EXCELENTE

By Nicolás S (

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Sep 15, 2025

Muy bueno

By Sunny J

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Aug 31, 2025

Excellent

By Rafa C

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Aug 13, 2025

Very good

By EDGARD A D S

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Aug 6, 2025

muito bom

By AI E

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Aug 3, 2025

Excellent

By Ahmed M

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Aug 2, 2025

Excellent

By R. H G

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Jun 27, 2025

excellent

By Saikumar J

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Jun 14, 2025

very Good

By Mohammad Z N

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Jun 5, 2025

Excellent

By KUKKADAPU V

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Apr 7, 2025

excellent

By PASHAM N

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Mar 10, 2025

Excellent

By dhruva s

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Mar 5, 2025

excellent

By Abdelwahed A

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Feb 17, 2025

Excellent

By Eeraj A R

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Feb 16, 2025

loved it!

By Tran V

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Feb 11, 2025

Amazing!!

By Abbas K P 2

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Feb 3, 2025

excellent

By Liu Y

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Jan 17, 2025

very good

By Kalyana A G

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Jan 8, 2025

Excellent