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
26,536 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

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.

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.

Filter by:

3176 - 3200 of 5,146 Reviews for Supervised Machine Learning: Regression and Classification

By Harikesh R

•

Feb 19, 2025

Helped me alot to understand the basics

By Álvaro J P A

•

Feb 7, 2025

Andew ng makes it easier to understand.

By Hussein

•

Feb 4, 2025

i have learned so much from this course

By Shyanil M

•

Nov 8, 2024

Just one line What a course on internet

By Ankith K A

•

Nov 3, 2024

It was very well thought with good labs

By Noumbissi S

•

Jul 16, 2024

Awesome course, clear and comprehensive

By Zobair H

•

Jan 5, 2024

A good source to learn machine learning

By Or S

•

Nov 26, 2023

Great basic course, a great instructor!

By Ange-morija K

•

Sep 24, 2023

Cours vraiment excellent, je recommande

By alireza m

•

Sep 13, 2023

It is the best course i have ever seen.

By Mai H A

•

May 4, 2023

it is so helpful for me. Thanks a lot!!

By Aseem S

•

Apr 9, 2023

THANKS FOR YOUR GUIDANCE! BEST COURSE!!

By mahmoud a

•

Apr 8, 2023

veru excellent course .thanks very much

By Shahid H

•

Apr 5, 2023

Best course i've ever studied regard ML

By Ackermann Y

•

Mar 5, 2023

Very good course for complete beginers.

By YUCHEN O

•

Jan 17, 2023

very good and let me love the ML field!

By Diaa h

•

Jan 5, 2023

very useful course, thanks for the team

By Daud R

•

Dec 22, 2022

great course to start machine learning

By Maryam H

•

Nov 21, 2022

so good, happy to attend this course :)

By 杨 罗

•

Sep 8, 2022

学习机器学习最好的入门课程，完全能学懂，完全能学会。为未来的学习打下最好的基础

By Pablo G

•

Jul 25, 2022

Great introduction to machine learning.

By Anton B

•

Jul 6, 2022

Informative, clear, and very exciting!

By si w

•

Feb 12, 2025

Excellent material. Superb instructor.

By bhavya j

•

Jan 23, 2025

Professor Andrew is an amazing teacher

By Chaitanya S K

•

Dec 30, 2024

Very Beginner Friendly, Great teaching