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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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901 - 925 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By SᴀQɪB M

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Jun 15, 2023

This is by far the most straightforward and well explained basic Machine Learning course I have ever taken, Thanks to Sir Andrew I completed what I once deemed hard to learn.

By Tooba A

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Jun 9, 2023

It helped me a lot to understand machine learning and some of its algorithms, and I also learned how to create a model and work on it by programming it and creating projects.

By Zafar A M

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May 14, 2023

I like course; teaching methodology is quite well furthermore Labs are very useful to make understand the conception of machine learning models.

Thanks to Coursera Management

By Hemant K S

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Sep 23, 2022

This course was very help full in giving me a clear understanding of Supervised Machine Learning; Regression and Classification and we can use them to create good ML models.

By Van-Loc N

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Aug 27, 2022

Thank Prof. Andrew Ng for a fantastic course about Introduction to Machine Learning. From this course, I gained a brief summary of knowledges and skills for Machine Learning.

By ritesh d

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Jul 27, 2022

The new python implementation is super helpful and clarifies concepts in a very lucid manner. The way the topics are organized makes the entire learning experience wholesome.

By Yueh-O W

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Jul 4, 2022

Professor Ng is so kind and nice. Slows down and explains step by step to make it easier to understand, and provides so many python program examples throughout the lecture.

By Dary D C F

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Jun 2, 2024

Muy bueno este curso , gracias a coursera por darme la oportunidad de una ayuda economica este conocimiento no se quedara en mi , sera compartido es la base de toda sociedad

By Ivaylo T

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Mar 29, 2024

Amazing course. Andrew is extremely profession in his explanation. Even if you don't have a strong math background you will be still able to progress and complete the course

By Shreyansh M

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Feb 6, 2024

Amazingly explained concepts. Never thought machine learning could be understood so easily, and I am now able to build my own models. Thoroughly understood all the concepts!

By Divyesh D

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Sep 25, 2023

This is a great course to start learning in machine learning. If you are interested in machine learning and want to learn, do not look elsewhere, this is the place to start.

By Oli S

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Jul 16, 2023

The concepts are explained in a very concise and intuitive manner. I can only recommend this course to everyone interested in the foundations of supervised machine learning.

By John T

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May 7, 2023

It was a good course explained in in easy to follow language. Some of the labs were a little hard to complete and the code was hard to get working but overall a good class.

By Rana B

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Jan 22, 2023

This is a fantastic course. I really enjoyed completing this course. I must say that Andrew Ng is a fantastic teacher. Thank you, Sir, for teaching such an excellent course.

By Jim H

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Nov 24, 2023

Excellent introductory course. Andrew Ng is a great teacher, providing an intuitive introduction to material with enough details to encourage a deeper dive into the topics.

By Leith S

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Jun 12, 2023

Really good lesson plan and delivery to explain the fundamentals. Some previous python numpy will help with the coding exercises, but what you need is taught in the course.

By Tonatihu S

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Apr 30, 2023

One of the best courses I've taken so far! I loved that you provide scikit-learn examples so we could compare how easy it is to implement the algorithms using this library.

By MCMXCVII N

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Feb 3, 2023

Everything is crystal clear to understand even if you're not familiar with python language. Instructing was so flexible specially for beginners. Recommended for beginners!

By Jim W

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Aug 14, 2022

I took Professor Andrew Ng's original ML course in 2012 and decided to take the new ML specialization as a refresher. So far, it's exceeded my expectations! Very well done!

By Meisam R

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Jul 14, 2022

The best refrence for those who are interested in having a deep and solid understanding of the ML concepts and not just know how to use some library codes like Tensorflow.

By Aarsh W

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Jun 1, 2024

It's a nice course for beginners; however, if you are looking for a more mathematical course with a theoretical foundation, do check out Stanford CS229 by Prof. Andrew Ng.

By qinwinter

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Sep 1, 2023

Thanks to the course,i learnd a lot about Regression and Classification.The course raise my passion of machine learning. I wil learning the other course with more efforts.

By Ahmed O

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Jul 26, 2023

That's how education shall be! Thanks Andrew and the team for such amazing learning experience, very motivated to continue the rest of the Machine learning specialization!

By Santiago A S

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Mar 29, 2023

Great intuition to teach concepts, excelent course material and a lot of fun to discover. Thank you very much for all the knowledge you shared through this specialization.

By Usman A K

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Nov 30, 2022

Excellent teaching style. Question after every concept in the video is very interactive. One thing I felt is that somehow coding must also be interactive during the video.