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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
30,455 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.

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

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5501 - 5525 of 5,766 Reviews for Supervised Machine Learning: Regression and Classification

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!

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 31, 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 Hammad U

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Aug 8, 2025

Good community and nice instructor Sir Andrew Thanks Alot

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 Samer A

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Sep 23, 2025

thanks for the valuable materials and the financial aid.

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 Vishal 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