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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
30,810 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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 25, 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 24, 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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2326 - 2350 of 5,848 Reviews for Supervised Machine Learning: Regression and Classification

By Greg D

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Oct 3, 2022

Gets you up and running in linear and logistic regression quick and seamlessley.

By Sajjad A T V 4 B C E

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Sep 20, 2022

Excellent session. Well organised for easy understanding and practicing problems.

By Amar

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Sep 15, 2022

I understand the theory and was able to implement vertozied code.. feeling happy

By Mario T

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Aug 22, 2022

Great revision of the contents! this is my second time I did it and I enjoyed it!

By Otuazohor P

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Aug 7, 2022

It was a very detailed and down to earth introduction to machine learning for me.

By John

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Aug 2, 2022

Excellent Course in every regard. Looking very forward to the next in the series!

By Gautam S

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Jul 17, 2022

I really like the way the course is structured in a very simple yet thorough way.

By Abul H N

鈥�

Sep 22, 2025

This course is one of the best course to learn fundamentals of machine learning.

By Ashutosh M

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Dec 21, 2024

I actually quite enjoyed this course. I learned a lot about logistic regression.

By Mohit R

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Oct 4, 2024

It was a wonderful experience for me. I learnt a lot from Andrew, thanks to him

By 30na r

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Aug 22, 2024

The scientific concepts are fluent and clear for any academic learner, so great!

By Keerthan G

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Jun 25, 2024

Loved the intuitions and math behind Linear and Logisitic Regression Algorithms!

By David P

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May 23, 2024

Great material and instructional videos. Found the courses interesting and fun!

By Aayush K

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Apr 12, 2024

This guy is so down to earth and really explains it from the complete beginning.

By Aditi J

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Apr 8, 2024

It was a really helpful course, I got to learn a lot of things from this course.

By Juan E M E

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Mar 12, 2024

Me parece incre铆ble la capacidad de transmisi贸n de conceptos de manera tan clara

By Shreshth G

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Jan 18, 2024

The course covers the basic of regression and helps to build a strong base on it

By Deleted A

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Jan 3, 2024

Loved the simplified explanations of foundational concepts with examples & labs.

By ARPAN G

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Nov 16, 2023

The course is the best, it has everything covered, down to the smallest details.

By 袗薪褌芯薪 孝

鈥�

Nov 6, 2023

Very useful course. It is well explained and seems to be a great point to start.

By Cristian H

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Oct 17, 2023

Very good content to refresh concepts and application in Python on Supervised ML

By Jerry P

鈥�

May 29, 2023

help you build up deep down understanding for the machine learning.

super helpful

By Kaleab G

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Apr 28, 2023

I think this course provides a good and clear description of the topics at hand.

By Francesca C P

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Apr 10, 2023

Direct application of the machine learning algorithms with succinct explanation.

By Anil K S

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Jan 21, 2023

Instructor is very good for teaching . Thanks for providing such type of lecture