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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
32,362 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

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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3751 - 3775 of 6,091 Reviews for Supervised Machine Learning: Regression and Classification

By Karolina g

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Sep 4, 2024

muy bien explicado, facil de entender

By Hussain D

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Sep 4, 2024

I enjoyed it and loved the challenges

By Immanuel . A . D

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Jul 25, 2024

Very helpful especially for beginners

By Nathan G

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Jul 13, 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 3, 2024

Great course for learning the basics!

By Muhammad A

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Jan 19, 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

•

Jan 8, 2024

easy to follow. very good instruction

By Andres S

•

Sep 21, 2023

Very didactic ! Perfect for beginners

By Anuj J

•

Sep 16, 2023

Must watch guide for machine learning

By Dr. B M

•

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

•

Jun 1, 2023

Very informative and engaging course.

By Aaryan D

•

May 25, 2023

An awesome intro to Machine Learning!

By Willian M

•

May 6, 2023

Amazing training, highly recommended.

By yufei

•

Mar 30, 2023

helpful! A great thanks to Andrew NG!

By Arthur B S

•

Mar 20, 2023

Ótimo curso para quem está começando.

By Samuel G

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Dec 26, 2022

Thank you, this is an amazing course.

By Nikhil T

•

Nov 20, 2022

easy to learn with the help of videos

By Rene A D P

•

Oct 10, 2022

Incredible resource for learning ai.

By Ali I

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Sep 28, 2022

Thanks alot for your fruitful coures.

By Talha K

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Sep 7, 2022

Concise. Efficient. Beginner Friendly