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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
27,885 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

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!!

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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2526 - 2550 of 5,339 Reviews for Supervised Machine Learning: Regression and Classification

By jason

•

Aug 24, 2022

Enjoyed this course and the labs and notebooks were very helpful

By Behrouz M

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Aug 23, 2022

I had only one such teacher before and I never forgot his lesson.

By Alexandre W

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Jan 22, 2025

Great course with theory and exercises in Jupyter. Very hands-on

By Yash K

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Dec 27, 2024

Andrew Ng Sir is amazing, visualizing the concepts helped me lot

By Marc J H

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Dec 26, 2024

Very good emphasis on the underlying mathematics and statistics.

By Getasew M

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Nov 13, 2024

Thank you professor. It was the best course I have even taken!!!

By Yang Y

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Sep 19, 2024

Intuitive, practical, at the right level of depth for beginners.

By harish k

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Apr 8, 2024

One of the best course in machine to start learning from scratch

By Mridul P

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Mar 6, 2024

It gave me clear insights of the topic.I'm grateful to coursera.

By Craig W C

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Dec 9, 2023

Labs should take longer to complete and tests harder and longer.

By Aman K S

•

Oct 21, 2023

Phenomenal Course, not much of coding but lots of Understanding.

By Muhammad U A

•

Oct 21, 2023

This was the best course of my entire learning journey till now.

By Pavan G

•

Oct 5, 2023

Thank you Andrew Ng sir and the Team Deeplearning.ai & Coursera.

By Muhammad B K

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Sep 6, 2023

Course is excellent as a starter but it is little bit difficult.

By ANKIT K

•

Jul 27, 2023

Excellent course content for basic and medium machine learning.

By Jignesh K

•

Jun 15, 2023

This course gives you a solid understanding of Machine learning.

By Zahra K

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Apr 13, 2023

The best way to learn Machine learning, Thank you so much Andrew

By Mohamed A H

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Mar 30, 2023

I was glad that i have took this course it was very informative.

By Joao D

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Mar 25, 2023

Very good, congrats for the good experience to the user. Thanks!

By Babar A

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Nov 30, 2022

This course is very good and the teaching method was excellent.

By Arjo R

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Oct 19, 2022

Top-notch course with everything you will ever need to remember

By Nikesh P

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Oct 7, 2022

Excellent introduction to Machine Learning techniques in Python

By Yash J

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Oct 3, 2022

Ecellent way to explain and teach regression and classification

By Gourav K

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Sep 14, 2022

Amazing course, great material for understanding basic concepts

By Mostafa S

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Jul 24, 2022

As enough as necessary. Highly recommended to all ML enthusiasts