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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
27,974 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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 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.

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!!

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4176 - 4200 of 5,353 Reviews for Supervised Machine Learning: Regression and Classification

By FRANCISCO J L O

鈥�

Nov 13, 2024

Excelente curso

By Venkatesh c

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Oct 6, 2024

Thanks 糖心vlog官网观看

By Hakim S

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Aug 27, 2024

thanks coursera

By mahdiyeh g

鈥�

Jul 2, 2024

the best course

By Duncan c

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May 14, 2024

Damn. Crazy Fun

By N G K

鈥�

May 7, 2024

Really well put

By Onkar R K

鈥�

May 5, 2024

Amazing course!

By Adham A

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Feb 25, 2024

Very helpful <3

By Aqeel I

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Feb 5, 2024

Amazing Lecture

By Sandeep M

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Dec 31, 2023

Great course!!!

By Satyajeet R

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Dec 13, 2023

just phenomenal

By David R

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Sep 8, 2023

excellent intro

By V铆ctor F M J

鈥�

Aug 3, 2023

Muy emocionante

By ahmed k

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Jul 13, 2023

Amazing course!

By 讗讘讬谞注诐 讘

鈥�

Jun 7, 2023

Great course!!

By 膼o脿n K

鈥�

May 28, 2023

greatest course

By Daniel .

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Apr 24, 2023

Amazing course!

By Mostafa S E

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Apr 10, 2023

Amazing course!

By Untitled

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Apr 4, 2023

Awesome course!

By Prakash N

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Feb 28, 2023

amazing course.

By yy

鈥�

Feb 18, 2023

Amazing course!

By fernando s

鈥�

Feb 14, 2023

excelente curso

By Eldred L

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Jan 12, 2023

Awesome course!

By SUPATH D

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Jan 10, 2023

Awesome Course!

By Radovan M

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Nov 24, 2022

Just fantastic!