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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
30,255 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

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.

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.

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2801 - 2825 of 5,728 Reviews for Supervised Machine Learning: Regression and Classification

By Tashyab R

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Sep 28, 2023

Hands down the best introductory course on Machine Learning.

By KOFFI B D

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Sep 22, 2023

Excellent course to dive into the world of machine learning.

By Yunfei T

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Aug 25, 2023

Extremely straightaway, and very suitable for fresh learner.

By Jaskeerat S

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Jul 30, 2023

Really well made course along with well designed assignments

By Javier A

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May 25, 2023

Incredibly ... thank you for sharing this outstanding job!!!

By Alosh D

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May 11, 2023

This course was a blast!!! So easy to comprehend and digest.

By Pavlo T

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Dec 29, 2022

Very cool course for beginners! Great lectures and examples.

By Phan P

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Oct 3, 2022

Good courses for beginner learn supervised machine learning

By MOHIT M

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Sep 17, 2022

/learn/machine-learning/home/week/1?

By Michal S

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Sep 13, 2022

Nicely put and perfectly visualised examples, great course!

By Jolan T

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Aug 8, 2022

Excellent course! I really enjoyed the laboratory exercises.

By Devashish C

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Jul 24, 2022

Hands down the best Introductory Course on Machine Learning

By Torben A

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Jul 23, 2022

Very interesting. Good mix of theory and practical examples!

By Luis F M

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Jul 14, 2022

Excellent for learning the fundamentals of machine learning.

By Don C

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Jun 5, 2025

Professor Ng is an amazing teacher. Stanford does it again!

By Rachel C

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Mar 23, 2025

methodical, super clear and with excellent labs and quizzes

By Aqila

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Jan 22, 2025

The best course for Learning Machine Learning Fundamentals.

By William A

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Sep 18, 2024

Great introduction to the key concepts of machine learning.

By Rafeek A

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Jun 26, 2024

A very good introduction to this fascinating specialization

By 鑻廕ack

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Jun 7, 2024

A really well structured course with in-depth explanination

By chidubem n

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May 21, 2024

love it thank you soo much for making complex things simple

By Omansh S

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Dec 3, 2023

Easy to follow, crisp, informative Labs and lovely delivery

By Le M T

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Sep 29, 2023

The mentor can explain the complicated thing in simple way.

By AS

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Sep 22, 2023

Excellent explanation with visual aids which really helped.

By Anastasiia V

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Aug 28, 2023

Very good explanation, everything is clear and interesting!