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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
27,853 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

ED

Apr 14, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

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.

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4301 - 4325 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By John J

•

Jun 11, 2023

Great course!

By Joyce W

•

Jun 10, 2023

best lecturer

By Prem P

•

Apr 29, 2023

exceptional!!

By AYYOUB M

•

Apr 23, 2023

Great course.

By Emanuele S

•

Apr 14, 2023

Just amezing!

By Spandan D

•

Apr 14, 2023

Great Course.

By Santiago G

•

Apr 10, 2023

Great course!

By Karan S

•

Apr 7, 2023

Great Course!

By AtiF D

•

Mar 23, 2023

all time good

By Sam T

•

Feb 26, 2023

Easy and Fun!

By ChunYa S

•

Feb 23, 2023

Very helpful!

By salim b o

•

Feb 5, 2023

great content

By Abhishek

•

Jan 31, 2023

Just amazing!

By Jiang L

•

Jan 17, 2023

Great course!

By Simao E

•

Jan 11, 2023

Excellent !!!

By Jasurbek G

•

Jan 11, 2023

Great course.

By Lưu G N

•

Nov 7, 2022

Great course!

By Tanmay R S

•

Oct 10, 2022

great course

By Bartlomiej K

•

Oct 4, 2022

Just amazing

By Osama M

•

Sep 29, 2022

Thanks a lot

By kalu s e

•

Sep 21, 2022

Just perfect

By Jadhav D

•

Sep 14, 2022

GREAT SKILLS

By Babak A

•

Aug 25, 2022

Great course!

By Jndd15

•

Aug 24, 2022

Supa awesome!

By Gabriele M

•

Aug 19, 2022

great course