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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...
...

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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4876 - 4900 of 5,099 Reviews for Supervised Machine Learning: Regression and Classification

By laksh j

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Jun 14, 2024

not many practical questions just implementation of the concepts

By Leonardo K S

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Nov 17, 2023

I would like to have more code class not just optional material.

By Ravikumar C

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Dec 17, 2022

Good wa to build intution about how a machine learning algorithm

By pratibimb s

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Dec 8, 2024

This course should also have more applications of ml in python.

By KISHAN G

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Oct 15, 2023

The explanation is very good. Anyone can understand the course.

By Manoj a k

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Mar 13, 2023

this course gave me a proper over of how machine learning works

By Lukman K

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Jan 13, 2023

It gave me the fundamental building blocks of Machine Learning.

By Biswadeep M

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Aug 2, 2024

very good course for developing the basics of machine learning

By Tejas P

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Oct 30, 2023

could include data preprocessing , data cleaning , null values

By Faizan T

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Jun 23, 2022

Vectorized implementation in the assignments would have helped

By Prestigebeetle

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Aug 5, 2023

the course was excellent but it lacked actual implementation.

By Sanjay K

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Jun 23, 2023

This course gives me a lot of idea about ML and other stuffs

By Arwa A

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Mar 30, 2024

great explaining but need to explain coding more than this

By Abhishek_Pandey_IITK

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Aug 30, 2023

A nice and wonderful course.

Bounds you from start till end

By Luca B

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May 14, 2023

Interesting course, not too heavy but direct to the point.

By Shravan D

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Aug 25, 2024

may be a bit more mathematics is required to be explained

By Wassim R

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Apr 18, 2023

I hope to find some obligatory labs (20-30% for example).

By Vishesh D

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Aug 21, 2024

Great experience with my very first course on ML and AI!

By Aryan G

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Sep 4, 2022

the optional lab code should be explained in the videos

By V

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Jul 1, 2022

More graded lab sessions could be included. Good course.

By Omkar D

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Jul 20, 2024

requires more practice lab, content is great thank you

By Moisés M B R R

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Oct 25, 2022

Great for those looking to get into Machine Learning.

By Mahesh R

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Jan 3, 2025

It was super , but i think i need even more practice

By Mubbara M

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Dec 5, 2024

This course is good for developing your basics in ML.

By Holmes

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Jul 3, 2023

A little bit overwhelming in the last lab. I love it.