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

4.9
stars
18,061 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.

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

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726 - 750 of 3,771 Reviews for Supervised Machine Learning: Regression and Classification

By Vaijanath R

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Jan 2, 2023

I loved the step by step training by Andrew. it was an amazing experience. I am going to make sure i will take all the trainings from Andrew only. Superb!!! I am glad I enrolled.

By Sivakumar V

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Aug 23, 2022

Very crisp and to the point course material with examples backed by simplistic quizzes and great visualizations in optional labs. Made learning quite straightforward and elegant.

By Alex T

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Aug 14, 2022

Finally, this course matched to answer some of my questions I've been wondering about, especially the feature engineering side, and the regularizations. This makes me very happy.

By Pritam B

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Mar 20, 2023

Thanks to instructor Mr Andrew Ng for explaining it in so easy way and presentation. It removes the fear about ML concepts from the mind. Thanks again for sharing the knowledge.

By Maliheh B

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Mar 12, 2023

I loved the course. I'm looking forward to model evaluation methods which were not covered in this course and I think will be covered in the second course of the specialization.

By Paul R

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Dec 16, 2022

Very good introduction to machine learning. Optional labs are excellents. They helped me to understand more the concepts developed in the course and practice what i've learned.

By Vaibhav C T R

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Sep 28, 2022

The course was enough equiped with required amount of knowledge that every one can understand irrespective of where the person stands with respective to knowledge in this field.

By Nudrat H

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Sep 19, 2022

the course is exceptional, the professor explained everything well in detail. a little bit of python understanding is mandatory for labs and should be introduced during course.

By ASANG D

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Dec 26, 2023

I really enjoyed every last element of this course. The curriculum was very well designed and well paced. I would certainly do more courses offered by this team. Kudos to them.

By Moazzam M

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Aug 12, 2023

This course is a big yes for beginners who want to learn Machine Learning and make projects out of it.

Great intructor with providing hands-on experience on different ML models.

By Soheil L

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Jun 25, 2023

It should have been so much better if the instructor would show the codes and explain them while teaching the concept. But all in all, it was great and I learned a lot from it.

By Ashish P

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Jul 22, 2022

What an amazing course! Each and every concept is taught in an easy digestable manner. I cannot thank enough. Many many thanks to the team for offering this awesome course. :)

By khushal v

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Jul 10, 2022

It's a great course. Andrew made it perfect for all the people like absoulte beginners and intermediate. I just love it. I cannot say another word just trust me it's worth it.

By Leonardo O P D L T

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Jan 5, 2024

Such an amazing introduction to Supervised Machine Learning, thank to Andrew Ng's superbs teaching skills even if you are not familiarized with Programming or Calculus at all

By Deniz D

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Oct 28, 2023

Mr. Ng explained ML basics in a very clear and concise manner and the lab session provided a context where I could practice those concepts. Great introductory course overall.

By Ole W

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Aug 29, 2023

Ein toller Kurs! Durch Andrew wurde mir der Stoff sehr gut vermittelt und durch die Praxisübungen konnte ich mein theoretisches Wissen sofort gut umsetzen und somit festigen.

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 Lá»™c N V

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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 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.