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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
27,108 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 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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1851 - 1875 of 5,231 Reviews for Supervised Machine Learning: Regression and Classification

By Pasindu D

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Jan 5, 2025

Great for beginners like me to get a proper understanding of principles behind machine learning.

By Ganga V P M

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Sep 28, 2024

Different ML models were explained in the best way possible so that any one can understand that.

By Kartik P

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Sep 17, 2024

Just great to hear and learn from prof. Andrew Ng. Assignments were a learning curve themselves.

By Priyansh J

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Sep 13, 2024

best course ever by deeplearning.ai and a very great instructor andrew ng sir a very good course

By Johannes H

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Jan 30, 2024

I am a laymen in this field and want to understand ml. This course was perfect for this purpose!

By Quân H N

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Sep 10, 2023

The course is very good, quality and so easy to understand for beginner. Thank you professor s.

By Aditya M

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Jun 9, 2023

I am simply in AWE how Andrew explained the concepts in so simple and easily understandable way.

By Lev F

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May 13, 2023

It's amazing if you don't mind math and Python code. Hands down the best course on ML out there.

By Jees A

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May 11, 2023

Exceptional learning experience, a must have for beginners in ML, really loved the course ❤️❤️❤️

By david z

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Jan 4, 2023

the sound wasn't perfect. As a international student I understood the course only with subtitles

By SAADDIN N S

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Nov 3, 2022

Great Course from a great teacher. I get strong fundamentals of machine learning in this course.

By Gilles M

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Sep 11, 2022

Excellent course design and content. Andrew Ng is one of the best teachers you can hope to get.

By OLUWAFEMI A

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Jul 28, 2022

I love the course. Easy to follow explanations and practical examples. The Labs were very useful

By Ritesh L

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Mar 9, 2025

best explanation by andew ng love the concepts and flow . learned lot about supervised learning

By Abdurrahman S

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Dec 30, 2024

It's a great introductory course; enough to get you well started in solving real life problems.

By Pradeep P

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Nov 7, 2024

Andrew is really good in explaining complex terms in a simple manner with really good examples.

By Run B

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Aug 22, 2024

Excellent course, Andrew explained all topics very clearly. Can't wait to begin course 2 and 3!

By Alessandro G

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Mar 10, 2024

Not too difficult, not too simple, just the right place to start machine learning in my opinion

By Ahtasham H

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Jan 15, 2024

From class lecture to lab everything was awesome. Thanks Coursera for providing Financial Aid.

By PAPPU B

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Jan 5, 2024

It's really amazing experience with Andrew Ng. His explanation was outstanding. Thank you sir.

By Bhupathi R

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Aug 27, 2023

Brilliant course to get started in Machine Learning, great way of teaching. Highly recommended.

By Ammar Y

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Feb 1, 2023

the course was good material was good and have nice topices and lessons was easy to understand

By Mersibon M M

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Jan 14, 2023

What an amazing course. You are an extraordinary person. Thank you for giving me this chance.

By Rajasekhar R P

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Dec 27, 2022

This course was helpful to get started with deep learning. Thank you coursera for finacial aid.

By ASHUTOSH S

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Dec 5, 2022

This course provides an in depth knowledge on Regression models and their real time appication