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

4.9
stars
26,788 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

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.

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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4476 - 4500 of 5,187 Reviews for Supervised Machine Learning: Regression and Classification

By Muh. I A

Jun 9, 2023

Amazing!

By Aladum K

May 10, 2023

splendid

By Alireza T

Apr 19, 2023

Awesome!

By 廖润龙

Mar 28, 2023

易懂且讲的很深刻

By JuHo S

Mar 26, 2023

goood!!!

By Hiếu N

Feb 14, 2023

worth it

By Oluwasegun E

Dec 22, 2022

Splendid

By Bill D

Dec 1, 2022

Amazing!

By Ritwik B

Nov 16, 2022

Awesome.

By Ebenezer A

Nov 15, 2022

Perfect!

By Roya A

Nov 8, 2022

perfect!

By Amir H

Oct 27, 2022

Amazing

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Oct 1, 2022

Amazing!

By Bardiya R

Sep 21, 2022

concise

By 杨东海

Sep 18, 2022

Perfect

By Andrew K

Aug 6, 2022

So good!

By Anh T N

Jul 14, 2022

fantasic

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Feb 22, 2025

amazing

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Amazing

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Jan 30, 2025

amazing

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Jan 29, 2025

eminent

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Jan 18, 2025

Awesome

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Jan 17, 2025

perfect

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Jan 10, 2025

Awesome

By Rishabh M

Dec 23, 2024

amazing