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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
32,078 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

DB

May 30, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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3451 - 3475 of 6,053 Reviews for Supervised Machine Learning: Regression and Classification

By Alperen D

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Jul 23, 2023

Very nice. I just need to make more exercise.

By Vivian S

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Jul 11, 2023

Excellent and motivating. Clear instructions.

By 李秉林

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Jun 25, 2023

this is the best classes for Machine Learning

By Reeshav S

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Jun 8, 2023

A brilliant course.. It's worth every penny..

By Mustafa B O

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May 31, 2023

best course for anyone wants to understand ML

By Bruh

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May 12, 2023

Very intuitive and insightful! Recommended :)

By Tapasvi B

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May 7, 2023

Very well-explained course and comprehensive.

By Gerardo C

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Apr 23, 2023

Andre Ng explains complex concepts with ease.

By Daniel A B G

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Apr 3, 2023

I loved this curse, recommended for everyone.

By LunaBaron

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Feb 26, 2023

Excellent Introductory Course by Professor Ng

By Ahmet K (

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Dec 26, 2022

Great course to learn the fundamentals of ML.

By SAHLI M

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Nov 30, 2022

Great course with great instructor, thank you

By Shahid I

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Nov 13, 2022

Very informative and full of knowledge course

By pratik

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Aug 28, 2022

For getting into ML, this course is perfect!!

By wroanee f

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Aug 20, 2022

Meets the needs and the expectations totally!

By Ting H

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Jul 23, 2022

it is a good start for deep learning material

By Mo B

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Jul 8, 2022

All I can say is that the course is exquisite

By Ahadli V

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Feb 14, 2026

A nice and informative course for beginners.

By Surya R

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Dec 16, 2025

amazing course with nice insights & examples

By Wassim E

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Dec 13, 2025

It was very beneficial and beginner friendly

By Sarath S

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Oct 30, 2025

Excellent Course and i enjoy every bit of it

By Eugen D

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Oct 12, 2025

Very well explained, the information sticks.

By Muhammad H T

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Aug 27, 2025

Sir Andrew is the best intructor of all time

By Nayim A K

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Aug 2, 2025

Best course to set your foundations strongly

By Malin E

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Jun 29, 2025

Very good course and very clear explanations