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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
26,360 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.

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.

Filter by:

2001 - 2025 of 5,115 Reviews for Supervised Machine Learning: Regression and Classification

By Zhaoyuan L

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Nov 1, 2024

Great course for getting a basic understanding about linear and logistic regressions.

By Shivam G

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Jun 23, 2024

very nice, the graded lab actually helped me a lot to understand the topics properly.

By William A

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Apr 18, 2024

best course ive ever taken such a great mentor you are Andrew cant wait to learn more

By Mohammad O A

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Feb 4, 2024

Absolutely, one of the best ML courses out there, specifically for academic purposes.

By Milad F

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Jan 29, 2024

It's one of the best courses I have seen before and thanks a lot to all of the staff.

By Vasuky M

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Nov 20, 2023

Clear and easy to learn, Also allows supplementing the learning with very useful labs

By Shashank K

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Oct 16, 2023

Excellent foundational course for someone who is just starting with Machine Learning!

By Prakash R S

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Oct 12, 2023

Very well organised and the complexity is graded well for all. Found it interesting!!

By Greg K

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Oct 2, 2023

The hands-on labs with accompanying guidance brought the mathematics alive. Great job

By ARYAN K

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Mar 28, 2023

Best Course to learn the fundamentals. The instructor explains everything very well!!

By Mohamed S

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Nov 29, 2022

Fundamentals are explained very clearly. Coding exercises gives hands on experience.

By Tharindu G

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Nov 16, 2022

This a great course to get to know about the backbone of machine learning algorithms.

By Zeineb E

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Nov 13, 2022

je suis trés satisfaite de cette formation grâce a vous j'ai appris beaucoup de chose

By Thodoris K

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Sep 28, 2022

Excellent presentation of the content! Intuitive and with as many details as needed!

By Ankan S

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Sep 26, 2022

Very nice course Covers all the basic aspects of ML Excellent teaching by Andrew Sir

By Stuart K

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Jul 21, 2022

Loved the labs, great animations the illustrated the concepts to build understanding.

By Aleksander S

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Jul 20, 2022

Very nice. Intuitive. Explaned clearly and with just enough details. Expecting more!!

By Thomas D

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Jul 17, 2022

Exceptional course that does a great job breaking down the math behind the ML models.

By Alessandro D

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Jul 6, 2022

Ótimo curso, e os exercícios práticos ajudam bastante quanto a questão de programação

By Elton A M M

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Jan 28, 2025

Excelente base para entender ML Supervisado y previas para entender Redes Neuronales

By Maria M

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Jul 27, 2024

It is the most intuitive and detailed course I have ever had, I loved it. Thank you!

By Yinwei Z

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Jan 18, 2024

Goated for giving you the intuition (and math jargon) to make sense of the textbooks

By Amit T

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Nov 11, 2023

The course and the instructor is awesome! It just is very thorough and fun to learn.

By Purva M

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Jun 29, 2023

Awesome experience.. Teaching pattern is really very good and helpful for learning..

By Mahdiyar T

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Jun 22, 2023

this course is very useful , Andrew Ng is one of the best tenure in Stanford(Online)