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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
31,037 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!!

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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4176 - 4200 of 5,905 Reviews for Supervised Machine Learning: Regression and Classification

By Azim S E

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May 1, 2023

this is wonderful course

By Julian m

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Apr 10, 2023

Brilliant, great course.

By Kailashpati M S

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Mar 22, 2023

Amazing experience .....

By Heizly S

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Jan 12, 2023

Muy buenas explicaciones

By Alessandro P

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Dec 26, 2022

It is an amazing course!

By Lizhi Z

•

Nov 26, 2022

Excellent and Ingenious

By Gu B

•

Aug 25, 2022

pretty good. Recommended

By shagufta p

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Aug 24, 2022

It was very informative

By Niskarsh D

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Aug 20, 2022

Course was pretty nice !

By Sandarbh S

•

Aug 17, 2022

Excellent Experience!!!1

By Sobhan A

•

Jul 31, 2022

Thanks for supporting us

By Fatma A e

•

Jul 22, 2022

great content thank you

By Ninoslav C

•

Jul 6, 2022

This course is brillant!

By Tom J

•

Jun 25, 2022

Top notch. Superlative.

By celina c

•

Dec 5, 2025

es muy bueno el docente

By Mohit N

•

Oct 24, 2025

Feeling More Confident.

By Muhammad A

•

Sep 10, 2025

Nicely explained course

By teja b

•

Aug 27, 2025

very useful. I loved it

By Ahmed Y A A

•

Feb 28, 2025

Above my expectations!!

By Padma C

•

Feb 28, 2025

Very clear explanation.

By Ram H

•

Nov 12, 2024

one og the best courses

By Uttarayan H

•

Oct 28, 2024

"IN-DEPTH KNOWLEDGE" 🔥

By Federico S

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Sep 4, 2024

Complete and very clear

By Baby S

•

Sep 3, 2024

Great teacher andrew Ng

By mohsin f

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Aug 26, 2024

very nice for beginners