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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
28,030 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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2226 - 2250 of 5,358 Reviews for Supervised Machine Learning: Regression and Classification

By Arunava s

鈥�

Apr 15, 2023

AN EXCELLENT WAY TO BEGIN YOUR WAY INTO THE MACHINE LEARNING AND DEEP LEARNING

By Satyajit S

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Feb 2, 2023

Andrew Sir is the best. This course is extremely helpful for students like me.

By Martin T M

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Dec 6, 2022

Such a phenomenal amazing course. Thank you so much Professor Andrew and team.

By Hexi P

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Oct 6, 2022

Very clear leaning plan! Details are explained very well and helped me a lot.

By Francois M

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Oct 5, 2022

Very impressed by the quality of teaching and simplicity of the explanations.

By Navin D

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Sep 14, 2022

Beatiful practice labs makes concept more understandable and easy digestible.

By Redouane D

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Aug 25, 2022

This is a great course to get started in the field of artificial intelligence.

By Martin S

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Jul 30, 2022

旮半寑 鞚挫儊鞚措嫟. 臧勱舶頃橃毵� 頃奠嫭鞚� 臧�瓴╉暅雼�. 靸濏櫆旖旊敥 臧欖潃 雮滌澊霃勳棎, 鞛� 歆滌棳歆� 旖旊摐搿� 鞚错暣毳� 雿旍毐 霃曤姅雼�. 攴� 鞏措枻 毂呺炒雼� 雮嫟瓿� 靸濌皝頃�.

By Ishan M

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Jul 28, 2022

Great course, start from very basic and helpful in building solid foundation.

By Shrirang M

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Jul 23, 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

By Deleted A

鈥�

Jul 11, 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team 糖心vlog官网观看.

By Per T H

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Feb 27, 2025

Excellent if you want to get an overview of state of the art machine learning

By Tatenda K

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Feb 13, 2025

Well delivered and easy to understand. Totally removed all fears I had for ML

By Ajay D

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Jan 18, 2025

Excellent explanation. a very good course for a beginner from any background.

By Abdulrhman E

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Nov 18, 2024

very high quality education, andrew is the one if the best teachers out there

By Jason M

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Sep 20, 2024

Clear and well structured. It would be fun if the quizzes had more questions.

By Rohin M

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Aug 1, 2024

Superb course for intuition! Looking forward to developing my skills further!

By Jonathan M C

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Mar 13, 2024

Exceptional, you can see that a lot of effort involved in making this course.

By Monzer H

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Feb 19, 2024

Amazing course with rich information, a great start on machine learning path.

By HARDIK A 2

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Feb 11, 2024

great course learning a lot of things and excited for learning more in future

By Anirudh L R

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Aug 6, 2023

Great course content-wise. Well structured and industry appropriate syllabus.

By Pratyush K

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Mar 19, 2023

The course really awesome. The explanations are clear and easy to understand.

By Mark T

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Feb 7, 2023

Great course content with thorough and engaging explanations of the concepts.

By Rorie B

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Oct 11, 2022

A bit more math would be helpful, but overall this course has been excellent

By anup

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Aug 11, 2022

Awesome learning experience, including refreshers through the practice labs!