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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
30,409 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

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.

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.

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2376 - 2400 of 5,760 Reviews for Supervised Machine Learning: Regression and Classification

By Per T H

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Feb 26, 2025

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

By Tatenda K

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Feb 12, 2025

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

By Ajay D

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Jan 17, 2025

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

By Abdulrhman E

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Nov 17, 2024

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

By Jason M

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Sep 19, 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 10, 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 18, 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 Ryu 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!

By Dhanemkula S N N K V K

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Jul 14, 2022

Good mathematical explanation how maths behind the algorithem is just awesome

By Deleted A

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Jun 30, 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera

By Rashad A

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Sep 15, 2025

Detailed and worth the time. This 1st course lays is solid foundation in ML.

By Prince J

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Jul 27, 2025

it's very good course and specially the way sir Andrew Ng teaches fantastic.

By Roberto C

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Jul 6, 2025

“Great course — I really enjoyed the structure and the practical exercises.”

By Aaditya K

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May 2, 2025

one of the best courses available for machine learning in the whole internet

By OSCAR G P O

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Apr 9, 2025

The methodology and content was excellent. thank you for your your vocation.

By Aditya R

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Apr 4, 2025

A very good course which help me in learning the supervised Machine learning

By keiko f

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Feb 6, 2025

I highly recommend it. Professor Andrew is very clear with his explanations.

By Soham P

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Jan 6, 2025

really loved the course and the style of teaching and explaining every topic

By Dissanayaka M N S

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Oct 17, 2024

This is the greatest course I have ever had, I really thankful to Mr. Andrew