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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
27,808 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 13, 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 24, 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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5201 - 5225 of 5,327 Reviews for Supervised Machine Learning: Regression and Classification

By Echekwu E

•

Aug 6, 2022

Fundalmental

By Vishal B

•

Nov 10, 2023

nice course

By Veerendra P

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Sep 16, 2023

NIce Course

By Kevin S

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Jun 25, 2024

Fast paced

By Salahuddin S

•

Jan 25, 2024

it is good

By 22501A4452 P P R

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Jul 27, 2024

Very good

By luficerg f

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Jun 5, 2023

Very good

By Nikhil N M

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Aug 16, 2022

Very Nice

By Aki

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Aug 12, 2022

Very good

By Aman Y

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Oct 26, 2023

Nice!

By Rutuja S

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Apr 5, 2025

Good

By JANAPATI G 2 B

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Mar 15, 2025

good

By Pokemon G

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Jan 30, 2025

Good

By Anshika S

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Nov 19, 2024

nice

By adarsh v

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Nov 17, 2024

good

By Mohammed S S

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Nov 9, 2024

Good

By ahmed a

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Oct 19, 2024

good

By Elza G

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Oct 2, 2024

good

By Akshay P

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Sep 29, 2024

good

By ANIRBAN D

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Jun 20, 2024

good

By Jingyasu k L

•

Apr 9, 2024

best

By AKSHAYAA S

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Dec 20, 2023

good

By bhargavi g

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Aug 30, 2023

good

By Kshitiz B

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Jul 19, 2023

none

By Rohan M

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Jul 1, 2023

Nice