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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
30,219 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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5701 - 5721 of 5,721 Reviews for Supervised Machine Learning: Regression and Classification

By Muhammad T C

鈥�

Feb 18, 2024

Although i can see that the next course is included in my learning program but i can not progress in it because the system keeps on asking me to pay for the course.

By A. A ( B

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Mar 26, 2025

The week 2 assignment is highly unsatisfactory to me. I'm a novice at Python and am getting no feedback that's useful to resolving the persistent problem.

By andualem c

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May 20, 2024

I'm very excited to move to the next level of this field i after i took this foundational courses. It is well organized and very engaging course.

By Rishab P

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Jan 6, 2025

Labs are not working well. Correct implementations shows as wrong answers. Even hints and the code supposed to be working is marked as incorrect.

By Elijah G

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May 16, 2024

This course is not for beginners. If you are not already familiar with programming and advanced math don't waste your time.

By Hossein T

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Oct 14, 2024

Lets be honest this course is basic and depend on your free time you can finish this course in less than a week !

By Samantha C

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Jun 27, 2024

They don't provide slides, so there's not way to take notes or go back and reference material.

By Scott W

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Sep 18, 2025

when you finish an assignment the completed assignment wont load... horrible IT design

By John J C E

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Aug 12, 2024

too many failures and lack of troubleshooting support in the labs

By Reza Z

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Jan 9, 2025

You'd better make a course on how you spread covid in the world

By Emek T

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Jul 5, 2024

Too much math, not enough practical code examples

By Paniz

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Dec 31, 2024

unusable. the course audio does not work .

By Amod U M

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Jan 20, 2025

The coding part has no correct guidance.

By ARIANNA K

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Jul 13, 2025

Way too complex for a complete novice.

By jared m

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Oct 30, 2024

wont let me unenroll so you get a 1

By nouhaila a

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May 1, 2024

I can't see my certification

By Abdullah A

鈥�

Aug 15, 2024

Jupyter Lab doesn't work.

By 袦邪屑斜械褌芯胁邪 袝 袝

鈥�

May 6, 2025

袨薪褕邪 械屑械褋

By Johannes K

鈥�

Sep 24, 2024

GARBAGE

By Ma'murjon N

鈥�

Mar 27, 2025

bad