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

4.9
stars
23,866 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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1451 - 1475 of 4,721 Reviews for Supervised Machine Learning: Regression and Classification

By Kalgee J

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Jul 15, 2023

The course is well-taught, theoretical as well as practical concepts would be far more clear after completing it.

By Javier S H

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Jun 18, 2023

Thanks and congratulations for this course. Really nice introduction to regression and classification algorithms!

By Mihir U

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May 9, 2023

Explained the underlying working of ML algorithms and teaches the abstractions that are used in the real world...

By Anand J

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Feb 24, 2023

This is the best course to learn the first two algorithms of machine learning. Highly reccomended for beginners.

By Jelena P

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Jan 15, 2023

Great course! I learnt a lot and I would recommend this course to anyone starting out a Machine Learning journey.

By antonin p

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Dec 22, 2022

Maybe students could have more to do : the examples are already fully completed and most of the lab are optional.

By Ali R

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Nov 29, 2022

This course is one of the best Ml courses in the world. I enjoyed the lessons and also like the teacher very much

By Shubham P

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Oct 20, 2022

NICE AND EXCILLENT , HELPED ME LOT TO LEARN THE BASICS OF MACHINE LEARNING AND IMPLIMENTING THE REGRESION MODELS

By Balaji

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Sep 8, 2022

My personal favorite is the interactive notebooks which helped me finally grasp on the concept of regularization

By Reza

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Aug 16, 2022

I like the full and easy way of teaching that Andrew Ng has. Nothing to say but I've ejoyed attending the class.

By Wisal M

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Aug 7, 2022

Well designed and excellently organized contents!

Math part was exquisite, I understood it although I didn't xd.

By Brigitte D

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Jul 19, 2022

It's a good starting point for a Machine Learning journey and I help you to start refreshing your Python skills.

By Felipe M L

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Jul 7, 2024

Its the best course I've done online. I feel it's very easy to follow, even if you havent studies a STEM career.

By Krishna S

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Jun 17, 2024

Very Descriptive Notebooks and Very Simple and Deep Explanations by the Instructor. Felt like an offline course.

By Niroshan V

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Jun 14, 2024

amazing coure, Helped me very much to digest the basics of machine learning... Practice labs were very useful...

By Tunar M (

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Feb 7, 2024

The course content is truly incredible. I am sure that it will contribute greatly to my future learning journey.

By 22CH10025 A D

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Sep 29, 2023

I got thorough understanding of ML topics and also the practical implementation of algorithms from this course.

By Pranava K M

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Sep 3, 2023

Amazing instructor and course design, assignments and labs were very helpful. Thank you for making this course.

By Erfan H

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Aug 29, 2023

One the best courses in AI & ML.

Huge thanks to Deeplearnig.ai and Coursera team

And lots of respect to Andrew Ng

By Suleman K

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Jun 5, 2023

what a great course, learn many things from the base, very great experience, also looking forward to learn more.

By Vansh A

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May 10, 2023

Great Course. Informative, easy to understand and very effective in developing intuitions about the basics of ML

By 6285_KIDUS A

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Mar 28, 2023

I loved how it emphasized on very basic understanding of how the algorithm is working and not just coding it up.

By Kalinga B

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Mar 11, 2023

This is an extremely helpful course for a beginner in machine learning. I really appreciate the way of teaching.

By Andrews T

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Jan 19, 2023

It's the best-ever ML course. With patience and continuous commitment, you will never regret taking this course.

By Sundaraavadhani S

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Dec 25, 2022

This is my first course on this platform. And I loved they taught me, with practical works and graded assignment