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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
30,707 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

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.

AK

Jan 8, 2023

I learned a lot in this part and would like to continue further but one point that I would like to raise is that it would be better if you can tell us about the in general function that are used in ML

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4926 - 4950 of 5,812 Reviews for Supervised Machine Learning: Regression and Classification

By Anoushka P

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Jan 4, 2024

Great one

By Antonis T

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Dec 20, 2023

Thank you

By Km A S

•

Dec 9, 2023

excellent

By ahmed e

•

Nov 23, 2023

very good

By Fatima U

•

Oct 31, 2023

excellent

By Deleted A

•

Oct 29, 2023

fantastic

By Jomarie O

•

Oct 25, 2023

very nice

By Zanko Z

•

Oct 13, 2023

Excellent

By Siddharth M

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Oct 6, 2023

Excellent

By Abdo S

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Sep 30, 2023

fantastic

By Tuvshintur L

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Sep 5, 2023

I love it

By Sayak S

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Aug 14, 2023

very nice

By AmirHosein S

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Jul 8, 2023

very good

By Kislay A

•

Jul 7, 2023

Excellent

By Jason Y

•

Jul 7, 2023

wonderful

By Ehsan F

•

Jun 20, 2023

Fantastic

By A7MED F

•

Jun 11, 2023

fantastic

By Izuchukwu S M

•

Jun 6, 2023

The best!

By Subham R

•

May 21, 2023

OP Course

By Yashvardhan S

•

May 11, 2023

Excellent

By Bouthaina T

•

Apr 30, 2023

thank you

By DEEPAK K

•

Apr 25, 2023

Awesome !

By Vannsh

•

Mar 29, 2023

very nice

By Sathiyalokeswaran L

•

Mar 12, 2023

very good

By Sanket E

•

Mar 5, 2023

damm good