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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...
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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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4851 - 4875 of 5,099 Reviews for Supervised Machine Learning: Regression and Classification

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 Mohd A A

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Jan 25, 2025

Optional Labs would have been Interesting Only if they were not optional :-)

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

By Yashu A

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Jun 21, 2023

it was an amazing course overall but I expected more mathematical details

By Magdy E

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Feb 8, 2023

It's a good first step in Machine Learning and this course was so helpful

By Suvroneel N

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Jan 8, 2024

labs were helpful but could've been better to explain the codes in video

By Tanish J

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Aug 18, 2024

A little more of the underlying mathematics would have been appreciated

By michalis l

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Dec 13, 2024

Great intro course The code assignments should may be more challenging

By Houimli M M

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Feb 26, 2023

I strongly recommend this course as a first step in machine learning .

By عبدالله ج

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Sep 19, 2022

near to ferfection but you need to add a week for data preprocessing

By Abhinandan S

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Oct 11, 2024

may be you can try to include some good projects for what you taught

By erick

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May 5, 2023

enjoyable , took me 3 months to finish.

I found it very informative

By Barbara F

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Nov 14, 2024

Well explained, but this is not a beginner's course in my opinion.

By Hrishikesh K

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Nov 9, 2024

It would have been better if the assignment were a bit more tough.

By Rahul C

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Aug 14, 2022

Amazing course. Extremely well made and concise. Thank you Andrew.

By VISHVAADARSHAN A A

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Dec 24, 2023

I encountered significant difficulty while completing the course.

By Prathamesh K

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Jul 18, 2023

I think there should be mere coding exercises, theory was perfect

By Md.Emon 2

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Jan 1, 2023

Regularization wasn't clear. Other than that the course was great

By Henry C

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Jul 28, 2024

Hands on course in machine learning with Practice Lab in Python!