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
30,785 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!!

JG

Apr 27, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

Filter by:

3101 - 3125 of 5,826 Reviews for Supervised Machine Learning: Regression and Classification

By Adil K

•

May 4, 2025

well designed and appropriate content for beginners

By Eugene T

•

Apr 25, 2025

Excellent material and excellent teaching approach!

By Aditya V J

•

Mar 24, 2025

Simply Exceptional. A must for every ML enthusiast.

By Ahmed F

•

Mar 16, 2025

Amazing, especially the labs and the practice labs!

By Sartaj S V

•

Feb 22, 2025

Awesome course, fundamentals taught in superb ways!

By Allampati C S R

•

Feb 22, 2025

It is a great course to apply for any btech student

By Mahith R

•

Feb 18, 2025

Best course with the best mathematical explanations

By Juan C L G

•

Dec 3, 2024

Very interesting with helpful and illustrative labs

By Husnain A

•

Nov 25, 2024

Best course for beginners to learn Machine Learning

By Devilatha M

•

Nov 16, 2024

Exceptionally well structured and delivered course!

By Janith R

•

Nov 3, 2024

highly recommend. Lab activities are really amazing

By Shivam K

•

Nov 2, 2024

this course is just awesome. Andrew Ng sir just wow

By Sagar P

•

Jul 23, 2024

Great course lab which helps in hands- on practice

By Sailesh S

•

Jun 23, 2024

Excellent course, easy to understand and implement.

By J T R

•

Jun 18, 2024

best course, he teaches with care. from beginnings.

By Puvith K

•

May 21, 2024

It was a wonderful course With a pack of knowledge

By Ahmed H

•

May 2, 2024

Best course to learning supervised machine learning

By abemelek d

•

Jan 11, 2024

Easy to learn and make change on previous knowledge

By Yarik A M

•

Dec 20, 2023

Amazing content delivered by a very good instructor

By Talha A

•

Nov 26, 2023

extremely helpful if you want to learn theory of ML

By Fangyuan L

•

Nov 1, 2023

the materials are very detailed and easy to follows

By Manoj

•

Oct 10, 2023

The most adorable course you will see on Courserađź’–

By Khaled M

•

Jul 22, 2023

It was a great experience with Proffessor Andrew Ng

By George A

•

Jun 2, 2023

An excellent and well designed learning experience.

By Graciela F

•

May 29, 2023

good teacher

all quiz is good because there's a hint