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Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
26,296 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 h...
...

Top reviews

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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.

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.

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4826 - 4850 of 5,100 Reviews for Supervised Machine Learning: Regression and Classification

By jaasim m

Feb 27, 2024

the transition from basic to advanced could be more gradual.but the classes are really good.

By Yash S

Jan 24, 2024

Well designed and well explained. The coding assignments and optional labs were also great.

By PRAMIDI V S S S

Jan 15, 2025

Found very useful thank you Andrew Ng sir and thank you coursera for bringing this content

By Sharif R

Oct 5, 2024

This was the most easily understanding course. Making the tough topics of ML in easy words

By Mohammad F K

May 29, 2024

So much details about each and everything. A very fine way of teaching. Thanks Sir Andrew!

By David I

Dec 7, 2022

The course is great. I would prefer for there to be more coding involved from the student.

By Alberto C

Oct 14, 2024

Great course, it would have been even better to have more practical questions to work on.

By Mauro M

Apr 24, 2024

Very good course. Explanations are clear. Exercises could be a little bit more extensive.

By Anandi S

Feb 23, 2023

The explanation was pretty clear however, the code should be explained by the instructor.

By Sudarshan D

Nov 21, 2024

Real life examples and the lab is the major plus of this course.Informative and worth it

By Hudhaifa I I G

Jan 1, 2023

it was nice course with hands on lab and extensive visualizing for mathematical concepts

By Yohan D A

Nov 5, 2024

Super bueno, aunque tiene algunos errores en el codigo, de los laboratorios evalutivos.

By Asnan P

Jul 8, 2024

its very good class, everything is very good by need some practical it may be excellent

By Raayan D

May 25, 2023

A good introduction. Wish it wasn't so hand-wavy with the math. The labs are very easy.

By Srivaths G

Oct 5, 2022

Lovely explaination by the proffessor , the flow and chronology was absolutely perfect

By Reza A

Jul 30, 2022

All the lectures are good. The only thing could be better is the assignments exercises.

By Purva T

Nov 29, 2023

Andrew Ng has explained every topic in depth and all lectures are easy to understand.

By SREEHARSH N

Jun 11, 2023

Great course for those who are looking to step into the world of machine learning!!!

By Rameshbabu

May 8, 2023

Great Training. Suggest to add one additional lectures to brush up the mathematics.

By Shashank A

Sep 13, 2024

The last portion(logistic regression) looks a bit rushed than the linear regression

By Akhlaq A

Feb 4, 2025

very deep and understandable lectures notes and labs, overall course is excellent

By Eman M

Sep 23, 2023

Your lab session has timed out If you'd like to continue working, reopen the lab.

By Deleted A

Nov 29, 2022

There is no actual way to learn the basics of Python, you just CTRL+F other labs.

By 메타버스크리에이터

Mar 30, 2023

처음에는 조금 어렵고 뭐가 뭔지 몰랐지만 점점 익숙해지기 시작했습니다.. 앞으로 자주 방문해서 더 AI에 대한 더 많은 정보를 얻도록 하겠습니다

By Daniel N

Jul 12, 2022

Interesting, and useful, take on how the different topics relate to each other.