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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
22,170 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

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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

AD

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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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1351 - 1375 of 4,541 Reviews for Supervised Machine Learning: Regression and Classification

By Raghavendra S V S

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Nov 30, 2023

The course is explained very well. The lab assessments are organized in right way to broyp the knowledge of the topic

By Jimmy R

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Nov 9, 2023

Super clear and informative! Would absolutely suggest to anyone wanting to a decent understanding of the fundamentals

By Anna M B

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Oct 7, 2023

Super! Andrew Ng consistently delivers the best and most inspiring courses on complex subjects like Machine Learning.

By Mohamed E F

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Jul 19, 2023

Good course It helped me to deepen my understanding of the implementation of both regression and logistic regression.

By Sambit S

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Jul 10, 2023

It's been an incredible learning journey, and I highly recommend this well-crafted course for beginners in the field.

By Abhin B

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May 2, 2023

It was a really good course And i feel blessed to have been offered a course like one considering my financial status

By Aly A A K

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Mar 30, 2023

Well organised course and excellent instructor .here i understood alot of concepts was difficult for me to understand

By AhmsOK H

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Dec 28, 2022

Andrew Ng is an incredible teacher, making the subject matter and mechanics of this topic, easy to digest and follow.

By J K

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Oct 20, 2022

Informative and the interactive labs were great at practicing the material and seeing how it all works for yourself.

By Ali S

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Jul 16, 2022

Complete materials/explanations on machine learning fundamentals.

An enjoyable course to participate.

Thanks Dr. Ng

By Abdullah N

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Sep 20, 2024

well organized material with great quality, loved the step by step approach combined with quizzes and code examples.

By He H

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Aug 13, 2024

Good for a starter, I learned the ML concepts before and it also gives me a better understanding of the ML structure

By Adnan R

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Jun 28, 2024

Very well structured course. Content was exceptional and the way coursera interface drive the course is exceptional.

By Vansh C

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Apr 21, 2024

I have never seen such amount of attention to detail in any course. This course enables me to make quality projects.

By Greg G

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Feb 8, 2024

Excellent explanation and pace. I liked the optional labs and deeper explanations of the math behind the algorithms

By Chirayu R

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Jan 22, 2024

The course was good. But the thing that really made me confuse is the unnecessary code in the last weeks assignment.

By Omar E

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Aug 30, 2023

Great for entry level with focus on understanding of concepts and getting the big picture behind the science itself.

By Yamoo T

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Nov 27, 2022

This course is great and it a definitely suitable course that is prepared for beginners. Everyone should learn it!!!

By Barath U

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Sep 25, 2022

It is a wonderful journew with Supervised Machine learning, I am so greatful to take this ML Specialization course.

By Pooria r

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Sep 10, 2022

With all my heart and honestly, I can say that it was the best course I saw thanks a lot I appreciate it very much

By Muhammad S

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Jul 25, 2022

Best course on supervised machine learning by one of the best instructors. It is nither too simple nor too complex.

By Michelle S

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Jul 24, 2022

Excelent. The interactive examples in python make it easier to understand. Congratulations for this excelent course.

By zhifine

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Aug 1, 2024

I like this course very much! It help me go through the basic concept of machine learning quickly, It is wonderful!

By Rishipramod C

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Jul 14, 2024

I personally says it is a fantastic journey throughout my course and learnt a lot new things...Thank you sir....!!!

By TERAN C E A

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Jun 30, 2024

Excelentes explicaciones y metodologías. El instructor sabe cómo transmitir conceptos complejos de manera sencilla.