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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
29,814 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

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.

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.

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3351 - 3375 of 5,658 Reviews for Supervised Machine Learning: Regression and Classification

By Nicolae P

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Aug 21, 2025

Concise but comprehensive, practical, fun!

By Cameron B

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Aug 6, 2025

Excellent explanations and easy to follow!

By Ashok S

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May 21, 2025

Very well structured & very good teaching.

By Ajiroghene S O

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Apr 1, 2025

Gerat course for Machine Learning Engineer

By Aditya S

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Mar 18, 2025

Best introductory course on ML I have seen

By nitin r

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Dec 29, 2024

best course thanks andrew ng and stanford

By Anurag P

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Nov 17, 2024

Really detailed course and well explained.

By Harsh T

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Nov 10, 2024

Changed my view regarding machine learning

By Dude

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Oct 6, 2024

i understand all concepts clearly thankyou

By Aditya P

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Jul 16, 2024

phenomenal course especially for beginners

By Helmut B

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Mar 6, 2024

Excellent introduction to Machine Learning

By Maelson M

•

Feb 26, 2024

Este curso é excelente para seu propósito.

By SYED M T

•

Jan 30, 2024

Exceptionally well explained by Dr. Andrew

By JAYNIL G

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Dec 22, 2023

Best course and amazing teaching methods..

By ETTOUSY B

•

Oct 5, 2023

Andrew Ng is one of the best teacher of AI

By Babar S

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Sep 26, 2023

This is an excellent course for beginners.

By Suresh C

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Sep 7, 2023

Great start for machine learning beginners

By GAURAVKUMAR P P

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Jun 17, 2023

Good Content and explanation is very well.

By AMIR U

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May 30, 2023

very good for supervised machine learning.

By Sufyan a

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Mar 9, 2023

outstanding course designed . learned alot

By Somin G

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Jan 23, 2023

Easy to understand and to the point course

By Sanjib M

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Nov 16, 2022

Very nice introduction to machine learning

By Daniel C J

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Nov 11, 2022

Excellent lecturer as well as the material

By salhi

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Oct 15, 2022

is greatfull, thank you so much professor

By Chrysante M

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Sep 15, 2022

VERY EXCELLENT COURSE! CLEARLY EXPLAINED.