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
24,409 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

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.

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:

876 - 900 of 4,803 Reviews for Supervised Machine Learning: Regression and Classification

By Gerardo T S

•

Aug 16, 2023

Excelente curso con buenas y entendibles explicaciones. El profesor Andrew Ng es sin duda un excelente tutor. La comunidad de DeepLearning ayuda bastante. Temas muy interesantes!!

By Sreenandu M

•

Jun 25, 2023

This course will take you to the basic concepts of machine learning. Take a deep journey to regression and classification of machine learning. The lectures are easy to understand.

By Sarthak S

•

Mar 22, 2023

he teaches the maths behind machine learning great and over that he does it in a simplistic manner which makes it easy to understand and helps to build a good career in AI and ML

By Moinul H D

•

Jan 14, 2023

Such a nice course. Professor described everything so clearly that everything became so easy to understand. If anyone wants to learn ML, then he should definitely try this course.

By Tarang J

•

Jan 13, 2023

Andrew does an amazing job at teaching this course and explains everything succinctly and clearly. The labs and assignments had the right amount of content and were well designed.

By Amin A

•

Sep 1, 2022

I just cannot point at any flaw from this course! Had a great time while studying it. I really appreciate the amount of work that has been put to make the course as good as it is.

By Yubraj T

•

Oct 28, 2023

Excellent course for the beginners. I learned the mathematics behind the algorithms and also its implementation in python. I want to thank all the team for this wonderful course.

By Krishnam G

•

Jun 16, 2023

The content never really feels boring at any point. The labs are one of the most organised jupyter notebooks I have ever seen and provides crucial hands-on experience for Python.

By Siraj A

•

Feb 11, 2023

This is literally a 5 star course. Andrew Ng taught the course with such a ease. He did not rush the course and taught it in very lucid manner. BEST instructor I saw on coursera.

By Vaijanath R

•

Jan 2, 2023

I loved the step by step training by Andrew. it was an amazing experience. I am going to make sure i will take all the trainings from Andrew only. Superb!!! I am glad I enrolled.

By Sivakumar V

•

Aug 23, 2022

Very crisp and to the point course material with examples backed by simplistic quizzes and great visualizations in optional labs. Made learning quite straightforward and elegant.

By Alex T

•

Aug 14, 2022

Finally, this course matched to answer some of my questions I've been wondering about, especially the feature engineering side, and the regularizations. This makes me very happy.

By Rashid A S

•

Aug 9, 2024

Overall, the course was great, but I was frustrated by the lack of a discussion forum. When I had questions, I had to seek answers on ChatGPT or YouTube, which was inconvenient.

By Jowad A

•

Jul 13, 2024

This course is greatly designed for the newbies of machine learning students. Those who do not have any background knowledge of Mathematics can understand the classes very well.

By Pritam B

•

Mar 20, 2023

Thanks to instructor Mr Andrew Ng for explaining it in so easy way and presentation. It removes the fear about ML concepts from the mind. Thanks again for sharing the knowledge.

By Maliheh B

•

Mar 12, 2023

I loved the course. I'm looking forward to model evaluation methods which were not covered in this course and I think will be covered in the second course of the specialization.

By Paul R

•

Dec 16, 2022

Very good introduction to machine learning. Optional labs are excellents. They helped me to understand more the concepts developed in the course and practice what i've learned.

By Vaibhav C T R

•

Sep 28, 2022

The course was enough equiped with required amount of knowledge that every one can understand irrespective of where the person stands with respective to knowledge in this field.

By Nudrat H

•

Sep 19, 2022

the course is exceptional, the professor explained everything well in detail. a little bit of python understanding is mandatory for labs and should be introduced during course.

By Pranav R

•

Jul 28, 2024

I am very thankful for teachers like Andrew for giving such valuable lesson. It's really inspiring for me and i hope one day i make positive impact on society with my learning.

By ASANG D

•

Dec 26, 2023

I really enjoyed every last element of this course. The curriculum was very well designed and well paced. I would certainly do more courses offered by this team. Kudos to them.

By Moazzam M

•

Aug 12, 2023

This course is a big yes for beginners who want to learn Machine Learning and make projects out of it.

Great intructor with providing hands-on experience on different ML models.

By Soheil L

•

Jun 25, 2023

It should have been so much better if the instructor would show the codes and explain them while teaching the concept. But all in all, it was great and I learned a lot from it.

By André M

•

Aug 26, 2024

Curso Muito Bom, os Labs complementam bem as teorias que de estatística que são dadas nas aulas, apenas senti falta de vídeos de programação, mas os labs são bem explicativos!

By Nadeesha S

•

Jun 30, 2024

I love this course, This helped me a lot in understanding my final year project. Thank you so much team and I highly appreciate this effort you have put to create this course,