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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
30,836 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

AA

Apr 30, 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.

DB

May 31, 2024

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

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3626 - 3650 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By Fratsa I Y

鈥�

Jul 17, 2025

Really Good Teacher, Thank You Andrew

By Mohamed E

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Apr 23, 2025

Nice course I truly benefitted a lot.

By Victor T

鈥�

Feb 3, 2025

Simple and Clear - Great way to teach

By Abhishek K

鈥�

Jan 16, 2025

A good way to start machine learning.

By Mueed R

鈥�

Nov 27, 2024

Best course available for starting AI

By Kandula S D

鈥�

Nov 13, 2024

A very good explanation by Andrew sir

By Aryan S

鈥�

Oct 23, 2024

Amazing course definitely recommended

By Maths f A

鈥�

Oct 5, 2024

Really beneficial to the job seekers.

By Haoran F

鈥�

Sep 9, 2024

Comprehensive & friendly for beginner

By Karolina g

鈥�

Sep 5, 2024

muy bien explicado, facil de entender

By Hussain D

鈥�

Sep 5, 2024

I enjoyed it and loved the challenges

By Immanuel . A . D

鈥�

Jul 25, 2024

Very helpful especially for beginners

By Nathan G

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Jul 14, 2024

Amazing! Really easy to follow along!

By nachiket k

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Jul 7, 2024

one of the best teacher out there !!!

By Jovie C

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May 20, 2024

very good course for machine learning

By Diamond G

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Mar 25, 2024

Well explained and easy to understand

By zahra m

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Mar 4, 2024

Great course for learning the basics!

By Muhammad A

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Jan 20, 2024

History will never forget Andrew Sir.

By Amos

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Jan 17, 2024

One of the best formats for learning!

By Huong P

鈥�

Jan 8, 2024

easy to follow. very good instruction

By Andres S

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Sep 22, 2023

Very didactic ! Perfect for beginners

By Anuj J

鈥�

Sep 16, 2023

Must watch guide for machine learning

By Benjamin M

鈥�

Aug 23, 2023

Very good course, I really recommend!

By Zafiq

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Aug 1, 2023

Great insight on how the model works.

By Aryan V

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Jun 1, 2023

Very informative and engaging course.