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

4.9
stars
24,409 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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851 - 875 of 4,803 Reviews for Supervised Machine Learning: Regression and Classification

By Hamza Z

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Jul 22, 2024

A beginner friendly course for any one who wants to gain insights in what supervised learning is and what are the techniques and formulas underlying Regression and Classification.

By Fiewor J

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Oct 21, 2023

As a former student, it was a great experience to come back to this and see some very useful updates especially around the usage of Python, NumPy, Scikit-Learn and Jupyter Notebooks

By Vivek

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Sep 30, 2023

Wonderfully explained, easy to understand, and the practice labs were very helpful (definitely recommend reading through it for review and to get a deeper understanding of the code)

By Shreyansh G

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Sep 29, 2023

One of the best courses to start Machine Learning journey with easy-to-understand videos, lab sessions and quizzes. Dr. Andrew is no doubt one of the best instructors to learn from.

By Paras P S

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Sep 13, 2023

Really good course for beginners as well as advanced people looking for a brush up on topics. The labs are self-sufficient requiring continuous practice from the participants' side.

By Mohammed B

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Aug 3, 2023

One of the best courses for who do not have any previous experience in machine learning. The course focuses on the practical part as well as the mathematics behind machine learning.

By Marko N

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Jul 17, 2023

Professor Andrew Ng is brilliant as ever in this course. There are a lot of notebooks with great visualizations after almost every video. I highly recommend this course to everyone.

By Ronit K

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Jun 20, 2023

This was an amazing course which highlighted the importance of foundation building in Machine learning. Sir Andrew made this roller coaster ride a very smooth and delighted journey.

By LEASU I

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May 7, 2023

A very interesting course. It was intimidating at first, but I just had to keep going and I'd say I would still revise this course over and over again to glean deeper understanding.

By Piyush S

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Aug 28, 2022

Provides one of the best content on Machine Learning available globally on internet to learn from. I loved the way Sir NG teaches the course. This course literally deserves 5 starts

By Amresh N

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Sep 22, 2024

The course provided a solid foundation with a great teaching style, combining illustrative examples and hands-on Python exercises for clear understanding and practical application.

By Vijaykumar S

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Aug 3, 2024

nice the learning are different compared to othere the labs help me to implement the mathematical model thanks for coursera team and andrew ng sir i like the platform more thanks

By Stephen R

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Aug 20, 2023

Very comprehensive. I found It tough at the outset because of a lack of Python knowledge, but I caught up. I feel I could do the course again. Looking forward to what is coming up!

By Marcus V d M R

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Aug 5, 2023

Ótimo curso introdutório sobre Machine Learning e suas propriedades matemáticas e práticas em Python, recomendo a todos que desejam ingressar na área com um conhecimento acadêmico!

By Ana G

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May 2, 2023

This was my first online course, I confess I was a little apprehensive, but the experience was excellent. The quality of the course, resources and learning trajectory were amazing.

By Hasnat A

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Feb 8, 2023

A very well explained and highly appreciated efforts done by the team of deep learning.AI

labs were extremely useful and informative

thanks for the efforts you putted in the course

By BHUSHAN D

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Dec 28, 2022

Perfectly designed course for beginners. I like the way the instructor taught this course. The focus is more on the concepts and not on the mugging. Quizzes are designed very well.

By kaka x

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Aug 6, 2022

what a wonderful and useful course i have attended! Undoubtly, I have learned a lot from it. Thank you for all people who take much more efforts and time for improving this course.

By Nicholaus S

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Jul 11, 2022

A most excellent course that starts you from 0 to implementing linear and logistic regression completely in Python. Very well paced and produced. Andrew Ng is an excellent teacher.

By Phúc N H

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Sep 8, 2024

The course is so concise and helpful, containing fundamental knowledge for me to learn other algorithms on my own. I appreciate the great teaching efforts of everyone at Coursera.

By ravi g

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Sep 8, 2024

this course really help me to understand what machine learning is how we can use the supervised learning algorithm from different way. so thank you for providing this great course

By Marco T

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Jul 28, 2024

Coming from a pure mathematics background I wish it went faster on the basics, and maybe also a bit deeper, but at the same time I understand the need to be understood by everyone

By Arindam G

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Jun 7, 2024

This machine learning course is outstanding, offering clear instruction, practical projects, and real-world examples. It's perfect for anyone seeking a solid grasp of ML concepts.

By RAJVANSH R

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Apr 17, 2024

I m pretty satisfied with this course. It covered all the basics of regression and classification. I highly recommend this course for someone who has just started exploring AI/ML.

By Hasnain Y

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Nov 27, 2023

Amazing Instructor, The course is very beneficial for someone beginning machine learning.I would highly recommmend it . Presented Ideas so clearly with hands on practice Superb!!!