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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
27,974 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.

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!!

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4351 - 4375 of 5,353 Reviews for Supervised Machine Learning: Regression and Classification

By 氚曥靹�

鈥�

Jan 15, 2025

best lecture

By Henry M N

鈥�

Dec 29, 2024

good content

By Abhishek G

鈥�

Dec 23, 2024

Great course

By Bassam S

鈥�

Dec 11, 2024

Perfection !

By Ahmed R

鈥�

Nov 18, 2024

Just perfect

By Chamindu N

鈥�

Nov 16, 2024

Incredible !

By 小斜褨褌薪褦胁 袦

鈥�

Nov 8, 2024

Best courses

By Aarti S

鈥�

Oct 2, 2024

Overall good

By Varsha P

鈥�

Sep 12, 2024

Very helpful

By Soumil K

鈥�

Sep 2, 2024

great course

By song l

鈥�

Aug 26, 2024

great course

By Zeal O

鈥�

Aug 21, 2024

great course

By Kareem E Z

鈥�

Aug 2, 2024

great course

By Ilya A

鈥�

Aug 1, 2024

I love it ^^

By AKSHAT S

鈥�

Apr 7, 2024

great course

By Deleted A

鈥�

Apr 4, 2024

Great course

By Mridul M

鈥�

Mar 1, 2024

great course

By Miguel M P

鈥�

Feb 27, 2024

Really good.

By Rakesh R

鈥�

Jan 27, 2024

great course

By nikhil y

鈥�

Dec 23, 2023

Great course

By Holger N H

鈥�

Dec 8, 2023

excellent !!

By Muhammad H

鈥�

Oct 17, 2023

It's Amazing

By Wahab A

鈥�

Oct 7, 2023

Best course.

By Revanth C

鈥�

Sep 18, 2023

Exceptional!

By Armin p

鈥�

Sep 17, 2023

great course