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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.

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2401 - 2425 of 5,115 Reviews for Supervised Machine Learning: Regression and Classification

By Harsh K

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Aug 8, 2024

the labs are more interesting then the theory, i loved this course

By Aarav J

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Jul 2, 2024

It was great to learn from him and make all concepts crystal clear

By Minta F

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Apr 18, 2024

This is one of the greatest and well explained courses of all time

By Abhijit K

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Aug 16, 2023

Professional course. Taught really well. Great step to start in ML

By Mangesh T

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Aug 11, 2023

good teaching by Sir Andrew Ng optional labs are extremely helpful

By Shashwat S

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Jun 27, 2023

Really loved Andrew Ng sir's teaching style. So easy to understand

By Hilmy A

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Jun 6, 2023

Great Explanation. The Optional Labs add more value to the course.

By Swayam S

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May 27, 2023

The course is very well structured and easy to understand. Thanks!

By Zulqrnain A

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Feb 21, 2023

Learnt a lot to enhance my Regression and Classification knowledge

By John A E R

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Nov 13, 2022

Useful and practical. It is a great insight into machine learning.

By Jimena M M

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Nov 10, 2022

Really useful to get first insight on Supervised machine learning.

By Karim A 2

•

Jul 10, 2022

Amazing course as expected

Thank you Coursera and DeepLearning.AI

By Phuong H

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Jul 5, 2022

It's a amazing course. Thanks to Professor Andrew Ng and the team!

By Sai K

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Jul 11, 2024

really good explanations and very good interactive labs. Loved it

By Rabia Ç

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Mar 10, 2024

Thank you for course. I learned a lot of things from this course.

By Javed S

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Dec 30, 2023

Andrew Ng is an instructor who wants you to succeed. Enough said.

By matin r

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Dec 7, 2023

Very clear explanations, exactly the best. Andrew NG is the best!

By Mohammad S

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Nov 18, 2023

I think this is the best way to get started with Machine Learning

By Omar Z

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Nov 1, 2023

This was very interesting and adapted for me (software engineer)

By Fizal M

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Oct 4, 2023

This is by far the best training course on ML I have come across.

By Shirsendu M

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Aug 6, 2023

exceptionally good course in this specialization , just loved it!

By Testing_ac_01

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Jul 20, 2023

Thank you Sir andrew Ng , now I can develop my AI skill with you

By Huy Đ V

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May 22, 2023

This course is excellent. It gives me an overview about my field.

By Hossein b

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Apr 25, 2023

This course is in the best form and the best way it should be...

By Abhijeet P

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Apr 7, 2023

Great course but the quizzes need to be more challenging I think.