Chevron Left
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 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!!

AD

Nov 24, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

Filter by:

4751 - 4775 of 5,332 Reviews for Supervised Machine Learning: Regression and Classification

By SANDEEP S

•

Nov 30, 2024

good

By Buğrahan A

•

Nov 28, 2024

nice

By Sepehr S

•

Nov 23, 2024

good

By Zona D

•

Nov 21, 2024

nice

By Раматуллаев И А

•

Nov 13, 2024

good

By Mahek

•

Nov 12, 2024

Good

By Shahad D R A

•

Nov 10, 2024

good

By Aditi P

•

Nov 9, 2024

good

By Hepprajith P

•

Nov 9, 2024

good

By Aryan G

•

Nov 8, 2024

good

By Omar k

•

Nov 5, 2024

good

By Yossi R S

•

Oct 16, 2024

GOOD

By Rahul K

•

Oct 14, 2024

good

By Fadhila A S

•

Oct 14, 2024

Good

By Deni K

•

Oct 10, 2024

good

By Erfan M

•

Oct 9, 2024

best

By arya b

•

Sep 28, 2024

good

By Sepehr E

•

Sep 21, 2024

nice

By Shivansh V S

•

Sep 18, 2024

fine

By Md H I

•

Sep 16, 2024

good

By zcx

•

Sep 14, 2024

好学爱学

By umair i

•

Aug 31, 2024

nice

By code d

•

Aug 27, 2024

good

By Tyrike D

•

Aug 21, 2024

Good

By HangHou

•

Aug 8, 2024

cool