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
24,349 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 23, 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.

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

Filter by:

1276 - 1300 of 4,792 Reviews for Supervised Machine Learning: Regression and Classification

By Deepak S

•

Dec 30, 2023

Best for beginner. It has everything you need to step in the world of Machine Learning. Basic Python is required for this course.

By Chijans L

•

Dec 16, 2023

The teacher teaches knowledge detailedly. Mr.Ng has a mental voice which drives me to go ahead to the next courses taught by him.

By Five A

•

Aug 9, 2023

This is a very good introductory machine learning course, and I am very grateful to the website side for the scholarship program!

By Venkata R K S V P 2

•

Jul 30, 2023

I haven't seen this type of explaination and also this type of course anywhere else. Thank you Deeplearning AI and Andrew Ng Sir.

By Ben H

•

Jun 7, 2023

Fantastic course that teaches the fundamentals of classification and regression using linear and logistic regression as examples!

By Chajin O

•

Dec 8, 2022

It was a lecture that clearly organized the artificial intelligence that I had learned so far.

Thank you to those who prepared it.

By JIAN H

•

Aug 25, 2022

Very good course, very suitable for beginners, especially the use of python makes all the concepts can be more clearly understood

By William A

•

Jun 27, 2022

Excellent explanation of the subject materials. A very good starting point to develop intuition on key machine learning concepts.

By Davi W M

•

Jun 21, 2022

If you are new in the world of ML, here is where you begin your journey. Thanks Andrew Ng and Coursera for this amazing course :)

By Huy N L

•

Sep 28, 2024

This course is equivalent to 4 months of my self-learning, and it's a great starting point if you want to learn machine learning

By Alfredo J L F

•

Sep 1, 2024

Excelente. Muy bien diseñado, muy cercano a la persona que inicia en el área, y no es abrumador desde los conceptos matemáticos.

By Nandan B

•

Jun 23, 2024

This course is just what I needed as a beginner in the field of Machine Learning. Highly recommended for all the ML enthusiasts.

By Guhan S

•

May 4, 2024

Amazing teacher literally answered all my doubts without ever asking me his understand is tremendous and an amazing tutor indeed

By TOBESHO

•

Apr 28, 2024

it is way to easy to understand and navigate through , wich there was more labs to practice on . but everything else is top tier

By Amine ( S

•

Jan 2, 2024

The way Andrew explaining is just super quality , the labs are a very good tool to get the intuition , over all great experience

By Sujeet G

•

Jul 25, 2023

This course helped me as a beginner in the machine learning field. It covers every basic concept of Supervised Machine Learning.

By Pablo M - A G ( 4 8 M

•

Apr 20, 2023

Great course. I like that the instructor takes the time to discuss the math behind the regression and classification algorithms.

By Neeraj M A

•

Feb 13, 2023

Assignments could be a little bit less guided, I think. The text instructions are fine but very little code needs to be written.

By Piyush K

•

Dec 5, 2022

Very well-structured and informative course. The intuition-based teaching and interactive python notebooks boost learning a lot.

By Jayneisha H

•

Oct 31, 2022

It was a great course. I really enjoyed it. Professor Andrew does a great job of explaining concepts and I love his enthusiasm.

By Mangesh W

•

Aug 27, 2022

It is really a good journey. Really a good course. The way concepts were explained with help of 3D visualization is appreciated.

By Harish I

•

Dec 30, 2023

Excellent. It's a treat to hear from Andrew Ng, and the labs and assignments are very helpful in understanding how things work.

By Sapphire A G

•

Dec 20, 2023

Fantastic course, but I did struggle a lot with the python coding. I would highly recommend learning that prior to this class!!

By Hugo A

•

Mar 1, 2023

Sometimes skips over important math and context but it gets the viewer to experience the libraries and a successful ML process.

By Briant J C

•

Jan 17, 2023

Thank you for this fantastic course. The interactive and visualizable optional labs were unique for understanding the concepts.