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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
25,380 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

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

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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2351 - 2375 of 4,962 Reviews for Supervised Machine Learning: Regression and Classification

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.

By Aryan D

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Jan 1, 2023

Explanations and concepts are quite clear and easy to understand.

By Ahmad A

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Dec 11, 2022

Labs are a bit hard but hard fun learning the course nevertheless

By Yannik S

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Nov 22, 2022

Great introduction to the topic of supervised (shallow) learning.

By Karmvir J

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Nov 20, 2022

Sir Andrew ng goat,

Simple and easy breakdown of complex concept.

By Sampanna S

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Oct 13, 2022

give clear vision and foundational knowledge of machine learning

By Piyush J

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Oct 4, 2022

very efficient learning but better if we write code from scratch

By Oleksandr K

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Sep 27, 2022

The last assignment of the course could have been more difficult.

By BHARATH T

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Sep 18, 2022

This course is the best way to start exploring machine learning.

By jason

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Aug 24, 2022

Enjoyed this course and the labs and notebooks were very helpful

By Behrouz M

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Aug 23, 2022

I had only one such teacher before and I never forgot his lesson.

By Yash K

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Dec 27, 2024

Andrew Ng Sir is amazing, visualizing the concepts helped me lot

By Marc J H

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Dec 26, 2024

Very good emphasis on the underlying mathematics and statistics.

By Getasew M

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Nov 13, 2024

Thank you professor. It was the best course I have even taken!!!

By Yang Y

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Sep 19, 2024

Intuitive, practical, at the right level of depth for beginners.

By harish k

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Apr 8, 2024

One of the best course in machine to start learning from scratch

By Mridul P

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Mar 6, 2024

It gave me clear insights of the topic.I'm grateful to coursera.

By Craig W C

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Dec 8, 2023

Labs should take longer to complete and tests harder and longer.

By Aman K S

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Oct 21, 2023

Phenomenal Course, not much of coding but lots of Understanding.

By Muhammad U A

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Oct 21, 2023

This was the best course of my entire learning journey till now.

By Pavan G

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Oct 5, 2023

Thank you Andrew Ng sir and the Team Deeplearning.ai & Coursera.