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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
25,432 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

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

AD

Nov 23, 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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3251 - 3275 of 4,976 Reviews for Supervised Machine Learning: Regression and Classification

By Neeraj K

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Sep 25, 2023

Well taught and structured course.

By Mateusz

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Sep 19, 2023

Really well prepared and executed.

By praveen n

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Aug 29, 2023

Easy explanation of complex topics

By Soumya P

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Jul 18, 2023

Good to have initial understanding

By Aryaman P

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Jul 1, 2023

Mind Blowing experience altogether

By Ramsai k p

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Jun 26, 2023

A really good course for beginners

By Shaktiman C

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May 24, 2023

The videos are easy to understand.

By Mradul B

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May 21, 2023

Great course to start from scratch

By Prabhat R

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Mar 29, 2023

Awesome lecture on regularization.

By Yuxi Z

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Mar 1, 2023

This course really helps me a lot!

By Ezedin M

•

Jan 28, 2023

An excellent course for beginners.

By Arijit G

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Nov 28, 2022

the course was absolutely awesome.

By Ali A

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Nov 7, 2022

This was a flawless course for me.

By Ankita R

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Oct 17, 2022

Amazing labs and lab assignments!

By Ivanhoe A

•

Oct 12, 2022

Excellent course, very insightful

By Oleksii K

•

Aug 30, 2022

The best introductory course ever.

By RL

•

Dec 3, 2024

Learned about a lot of new things

By Hamdan K

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Nov 24, 2024

A great learning resource for ML.

By BONAM R

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Oct 1, 2024

Best Course for Machine Learning.

By harshit r

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Jul 30, 2024

very helpful course for begineers

By Haitam B

•

Jul 29, 2024

thank you for this amazing course

By Ishaan J

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May 10, 2024

Epic course By the GOAT Andrew NG

By Eranda J

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Apr 23, 2024

Great course. Highly recommended.

By ANINDYA M

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Jan 24, 2024

A great course to kick off the ML

By Quynh A N

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Dec 22, 2023

Great course, easy to understand!