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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
30,810 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.

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.

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2626 - 2650 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By Vishnuwaran K K

鈥�

Jul 3, 2023

Loved the Python Labs. Thank you for the insightful learning content!

By Jaiman P

鈥�

Jun 19, 2023

Great for an introduction as well with an appropriate math background

By Yegor S

鈥�

Mar 27, 2023

Great mathematical foundation and overview of introductory material.

By muhammad i

鈥�

Jan 9, 2023

The Instructor's lectures and the material he chooses are beneficial.

By AHMED S M

鈥�

Dec 29, 2022

The course design is high-level, and it gives me deep insight into ML

By Milutin S

鈥�

Dec 25, 2022

Perfect for beginners and introduction to the Machine Learning field!

By fida k

鈥�

Nov 5, 2022

it was updated outstanding course for Machine learning specialization

By Manith S

鈥�

Sep 13, 2022

Great course for building a solid base on Machine Learning concepts.

By V铆ctor G

鈥�

Sep 1, 2022

Muy bien curso con contenido francamente bien explicado por Andrew Ng

By vivek p

鈥�

Jul 22, 2022

amazing explainatation with informative knowledge given by Andrew ng.

By Quy H

鈥�

Jun 26, 2022

Nicely instruction from Andrew Ng about regression and classification

By Nikhil L

鈥�

Nov 9, 2025

Very good course. It makes learning ML so enjoyable and interesting.

By Martin P

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Oct 27, 2025

Great teacher, material easy-to-follow. Overall really good content!

By Pandurang C

鈥�

Oct 4, 2025

very interesting and deepen the understanding of supervised learning

By Rithwik Y

鈥�

Mar 6, 2025

Best course for beginners. The structure of this course is just馃馃徎鉁�

By Josu茅 M

鈥�

Dec 20, 2024

Muito bem explicado, com paci锚ncia e excelente profundidade t茅cnica.

By Robert W

鈥�

Sep 16, 2024

Thanks Andrew. Excellent balance between practical and theoretical.

By Anvesha C

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Jun 24, 2024

hands on experience with machine learning. really good for beginners

By Chandisha D

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May 6, 2024

Well explained in easy way and no hustling. learning at my own pace.

By Anna N

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Apr 4, 2024

Perfect course! Andrew is fantastic and calming, loved every moment!

By Dayra A E C

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Jan 13, 2024

A very well structured course, also Andrew is very good at teaching.

By Pranav K

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Jan 12, 2024

This is very much designed for beginners like me. I love this course

By Roy S

鈥�

Oct 31, 2023

really fun and interesting course, Andrew was a really good teacher!

By ho脿ng v

鈥�

Oct 6, 2023

It is a really good, practical and useful course i have ever joined.

By Tyler C

鈥�

Aug 9, 2023

I truly enjoyed the level of math that was provided with the theory.