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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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26 - 50 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Sreeraj N R

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Jun 26, 2022

a great course to understand theory of supervised machine learning. Need lectures for numpy and scikitlearn

By Reem I

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Feb 13, 2023

The course content is great but I didn't like that the instructor said that the labs are optional and you don't even have to know python and then I found out that there are graded labs!! this is really confusing as even when I tried to use hints and write the code I found out that it does not work.

By Rok Å 

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Nov 6, 2022

The focus of the whole course is on gradient descent. I guess it is needed for some other algorithms but here we could have just found the derivative. If I had no background in math and statistics I would give up ML seeing this.

By Tamara S

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Feb 14, 2023

First too easy and at the last assignment no chance to get help for weeks. I can't finish this course. I don't see any difference from the hints towards my programming lines but still it's not working so I can not finish.

By Mehul P

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Jul 5, 2023

Not a good course for beginners!!!! It should teach Python programming or have it as a prerequisite for the course. There should also be projects for the course

By Yemi D

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Oct 3, 2022

Excellent course. Intended as a refresher, and had a better understanding of feauture engineering, scaling, and logistic regression. Good hands on labs were very practical, engaging and rewarding.

By Lewis C

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Jun 25, 2022

Really enjoyed the course, had a few questions by the end of it that were resolved quickly in the forums. I would implore others to use them too as they are a great resource.

By Andrea N

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Jun 18, 2022

Andrew Ng is a very good professor, he explains complex concepts in a very simple way and with the help of many visualization and graphing tools. Highly recommended course!

By Lydia A

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Jun 22, 2022

The course is very interesting. I have learnt a deep understanding on machine learning, now I know the difference between regression and classification.

By Alina D

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Jun 21, 2022

Good, I keept working on these codes and searching for clues in videos. Good structure, reinforcment of some knowledge.

By Pavan K A

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Mar 9, 2023

Andrew Ng is a God of ML. No one in this world can make this course more easier than him.

By Nadia D D

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Mar 4, 2024

Though the concept was thoroughly explained, I find that it lacked materials for learners who prefers to read the course after in order for me to understand it better. There were no slide handouts nor was their a step by step tutorial on the coding. The coding was spoon fed to learners so it was hard to figure out the assignments for the coding. Syntax for the coding was not also thoroughly explained nor a handout for the syntax. It is not a good course for coding but a good course for understanding what your are computing and how you go about the problems.

By Deleted A

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Dec 1, 2022

You need to know Python, calculus and linear algebra for this course. I have a background in the last two, but never having used Python before, I'm unable to complete the final exam.

By Hourasadat M

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Jan 6, 2023

The class was full of mathematic. There were python code in labs but no explanation about python by instructor.

By Hamilton E

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Aug 11, 2022

Too much theory and very few practice.

By Flavia B

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Oct 18, 2022

I feel like this course tries it's hardest, that everyone can follow it. But because of that it doesn't really dare to go deeper than just give an overview of machine learning. The tests are way too easy to pass with 100% and you can't really write your own algorithms afterwards. Also most of the examples are with one variable, so it's easier to follow, but it would be much more helpful, if we could see more complicated and real live examples.

By Robert W

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Aug 4, 2023

This was really a math class not much at all about machine learning. There was some abstract example that most of the detail about were hidden making it really hard to understand what was being done other than learning formulas. I would not recommend it.

By siow L c

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Jun 15, 2023

Tried, but unsatisfied. Hence, I cancelled the subscription within a week as specified for a full refund. However, there is no way I can get hold of anyone from Coursera. It is a scam system. You have been warned.

By achref l

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Oct 22, 2023

the labs arent useful + absence of a lot of supervised machine learning models

By Rishab J

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Oct 22, 2022

I had completed my course and why I did'nt get my completion certificate?

By Soufiane A

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Jun 29, 2022

THE FINAL ASSIGMENT IS TO HARD

By Michelle W

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Jun 20, 2022

Excellent course, it really lays the groundwork for understanding the concepts and some of the math behind it, and provides an opportunity to play with the python code in labs. This is a step up from "AI for Everybody", and a good prep for the Deep Learning Specialization. I'm a data analyst with some coding experience, prior coursework in calculus & linear algebra & basic statistics, and found this a great supplement as I'm also working through the Deep Learning Specialization.

By J R

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Jun 21, 2022

Fantastic introduction to Machine Learning. The labs have been updated with widgets. You can add data points, change the polynomial order and many other changes that makes this a great way to understand how the different components of machine learning are done. Highly recommend.

By Alireza S

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Jun 19, 2022

This is a great Machine Learning course for the first-time learners offered by the best in the field. IMHO, the focus of course is on learning the underlying theories of machine learning rather than short-circuiting the basic concepts to the helpers libraries developed in Python.

By Dingrui W

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Jul 26, 2022

Brilliant course! I really enjoy the journey and cannot wait to start the second course. It's such a great thing to have a course like this which is made with great endeavor. And spending time and thoughts on it is even more amazing. I am so lucky to encounter this course!