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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

AD

Nov 24, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

JG

Apr 27, 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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3276 - 3300 of 5,913 Reviews for Supervised Machine Learning: Regression and Classification

By Ronald C

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Sep 6, 2023

Excelente el contenido y la metodología. Gracias

By pom R C

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Jun 18, 2023

wonderful course this is. sir is extra ordinary

By Igor K

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May 11, 2023

One of the best courses I've learned on Coursera

By Weng N P

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Mar 10, 2023

Dr. Andrew is great. The explain is super clear.

By Davit K

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Feb 22, 2023

It is a good introductory course for the subject

By Dhruv R

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Nov 13, 2022

It's great course for Machine Learning Begineers

By Olha H

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Oct 20, 2022

The course is awesome, especially Jupyter labs.

By mhmd300044

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Oct 7, 2022

It was a great course that enhance my aknowldge

By Muhammad A

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Sep 25, 2022

course content is very very good and excellent.

By Rengaraj R

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Sep 21, 2022

One of the best hands on course in the industry

By Ali K

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Sep 7, 2022

Great course with a great teacher. Thanks a lot!

By Malcolm W

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Sep 5, 2022

A great course, and a great teacher. Thank you!

By vida s

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Aug 14, 2022

It was awsome. I really learn a lot . Thank you.

By Limin P

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Jul 22, 2022

The python programming quizzes are very helpful.

By Roberto L

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Jul 12, 2022

Great instructor! Wow deep content and formulas!

By Mohammadreza G

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Jul 4, 2022

This course solidified my decision to pursue AI!

By anik g

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Jun 23, 2022

Best ML course to gain the foundational skills!!

By Muhammad U T

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Aug 26, 2025

outstanding intuition building and explaination

By Ali Z

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Apr 6, 2025

Le cours est hyper bien structuré et bien fait.

By Yang N

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Mar 1, 2025

Very helpful! Highly recommended for beginners!

By RUSHI P

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Feb 4, 2025

This is the great course that I have completed.

By João V d S

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Jan 15, 2025

Muito bom! De forma simplificada e aprofundada!

By Chintan S

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Nov 20, 2024

Great Course..Thanks for building this material

By Janick Z

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Nov 19, 2024

Andrew Ng - the best professor I have ever had!

By Mohammed A

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Nov 8, 2024

thanks really for supporting me in this course.