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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
23,866 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.

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.

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4476 - 4500 of 4,718 Reviews for Supervised Machine Learning: Regression and Classification

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

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Apr 24, 2024

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

By Anandi S

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Feb 23, 2023

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

By Hudhaifa I I G

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Jan 1, 2023

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

By Asnan P

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Jul 8, 2024

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

By Raayan D

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May 26, 2023

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

By Srivaths G

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Oct 5, 2022

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

By Reza A

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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

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May 8, 2023

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

By Shashank A

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Sep 13, 2024

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

By Eman M

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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

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Jul 12, 2022

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

By Joshua E

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Jun 12, 2023

The math can be confusing if you want to understand why the code is what it is.

By LALIT K

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Oct 23, 2022

it was nice ,and with full touch of practical knowledge,it was really helpfull

By Sohrab M

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Aug 29, 2022

I am really appreciated for being part of this community and learn new skills.

By ABHISHEK A

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Jul 25, 2022

Great course but I wish instructor also explaned the option lap code as well.

By Gustavo T

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Jul 21, 2022

Great content and learning pace. Just think the assignements could be harder.

By mohammad m m

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Jan 26, 2023

perfect, but mathematics and academics subject was lesser than it should be

By Fahad A

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Jan 30, 2024

Overall the course is good but you should upgrade your labs;they are worse

By Thomas G

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Feb 25, 2023

The programming style in the labs is much more complicated than necessary.

By Arindam P

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May 31, 2024

Very well structured , well drafted and good difficulty level assignments