Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

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.

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

Filter by:

476 - 500 of 4,719 Reviews for Supervised Machine Learning: Regression and Classification

By Naoroj F

•

Aug 12, 2023

I just finished high school and was looking for an introduction to Machine Learning as this field is becoming huge. I love that the math is entirely accessible to someone with a math education up to the high school calculus and vectors level. I am excited to dive deeper!

By Bhargav B

•

Jul 23, 2023

It has been an incredibly enriching experience. As someone with a strong interest in machine learning and its practical applications, I can confidently say that this course is an invaluable resource for anyone looking to delve into the world of supervised machine learning.

By Vyom G

•

Jun 26, 2023

A great course to kickstart your journey into the domain of machine learning. Easy to understand, with various diagrams and course labs to complement it, the instructors have done a great job in making this course cover various topics in a simple and understandable manner.

By DHIRENDRA Y

•

May 18, 2023

Very good course for learning supervised Machine Learning,

thanks to the instructor for sharing. this wonderful course ,

and thanks to the coursera team for giving the opportunity to learn grate things

I really appreciate everyone who is involved in this course.

thank you.

By Dileep S P

•

Feb 2, 2023

Dr. Andrew Ng proves why he is the best!! The way he explains the topics is simply remarkable. Words do fell short if I have to say how great this course is. The labs, assignments etc.. improves your understanding of the topics and motivates you to implement something new!

By Luciano R

•

Dec 31, 2022

A super friendly and pedagogical approach to learning the core concepts of Machine Learning, the syllabus is perfect for people that have some basic math and programming knowledge, and want to get into ML.

Andrew Ng is a superb teacher, one of the best online courses I did.

By Shreyas N

•

Jul 24, 2022

The course is very technical and hence gives importance to nitty gritty of the algorithms used. If you want to learn how the algorithm works and how and when shall we use feature selection or regularization for linear or logistic regression,then this is the course for you.

By Alireza H

•

Jul 11, 2022

It was a really helpful course ,I've learned many useful concepts about supervised learning . practicing optional lab codes and Andrew NG's explanation was admirable, I'm going to enroll the next course in this specialization.

thank you COURSERA ,and thank you Andrew NG :).

By Saurav B

•

Aug 21, 2023

This course on Supervised Machine Learning: Regression and Classification has been an absolute eye-opener for me. I want to express my heartfelt gratitude to Andrew Sir for being such an amazing instructor. The way he explained complex concepts made learning so enjoyable.

By Oliver W

•

Jan 12, 2023

An interesting and beneficial course. It is well instructed and managed and the concepts are explained well. My only criticism is that I would have liked it if we covered the deriving process fully when deriving the gradients for the multiple formulas. Highly recommended.

By Athul

•

Nov 30, 2022

This course helped me learn all the basics of Machine Learning. It covers topics of linear regression and logistics regression. Course is well organized and has good quality. I am very satisfied with this course. I Hope I can start a new career in machine learning soon :)

By Jahnavi V

•

Feb 5, 2023

Wonderful course for beginners as well as experienced coders. Structured perfectly with good pacing, simple assignments and interesting hands-on labs . It definitely gives us a deep understanding of the concepts needed to apply machine learning in real world situations.

By NALLAPERUMAL S

•

Jan 23, 2023

The contents of the course and the practice labs are structured in a way that someone who is getting introduced to ML and with little/no programming knowledge can catchup and complete the course successfully with a lot of learning. Thanks to the entire team behind this.

By assia t

•

Jul 26, 2024

This specialization on Coursera is excellent! The courses are well-structured, the hands-on exercises effectively reinforce concepts, and the community support is invaluable. An enriching experience that has solidified my skills in machine learning. Highly recommended!

By UmaMaheswar M

•

Sep 25, 2022

It's a fantastic course taught by Andrew Ng. It progressed from the fundamentals to more complex discussions of logistic and linear regression. Quizzes and laboratory tasks were quite enjoyable for me. I thank Andrew Ng and his team for offering this excellent course.

By Yash B

•

Jul 11, 2022

Really helpful! Doesn't feel that difficult in the beginning, but slowly starts to become a little complicated. Dr. Andrew's teaching pace and style is amazing, really calming. I enjoyed this course, and hopefully will love the next 2 courses in the specialization too.

By Akash K P

•

Feb 8, 2023

This course has been a great learning experience and I am grateful for the opportunity to expand my knowledge in this field. With this course, I feel confident in my ability to develop, implement and evaluate effective machine learning models for various applications.

By Gargi S

•

Aug 7, 2024

What a start in ML journey.... The course is just great, I even didn't knew python and it's libraries but with great explanation it did it. Additionally, Thanks a lot for providing me this course for free. It's most recommended ML course I would ever suggest anyone.

By Soroush R

•

Aug 5, 2023

Fabulous course to learn the fundamentals of machine learning. The tutor of this course, Andrew Ng, has the best method of conveying essentials and basics through examples and visual graphs. I am more than happy I could access and follow this course through Coursera.

By Shreya G

•

Aug 8, 2024

Provides in-depth, mathematically thorough understanding of foundational concepts. The lessons were very engaging thanks to the instructor's comprehensive way of teaching. I found the practice exercises too basic, but the extensive lab material helped fill the gaps.

By Alessandro C

•

Mar 7, 2023

The finest quality material and learning experience I've experienced in a learning platform. Professor Ng is able to deliver key concept with outstanding clarity and conciseness, keeping the lessons engaging with with videos that are short, sweet and to the point.

By Parthasarathi C

•

Oct 12, 2024

Personally this was a sort of refresher, but I am glad I took this course. Andrew and the team deserves thanks for maintaining an excellent balance between depth and breadth. The assignments were just at the right level of difficulty to gain insights into the topic

By Sravana K K

•

May 15, 2023

This is EXCELLENT course. If you are confused about where to start with learning ML, start here. The course videos, practice code, and tests are all designed meticulously so that anyone with basic math and computer science knowledge can get a solid grounding in ML.

By Saurabh Y

•

Nov 15, 2022

I just can't thank enough Andrew sir and Coursera for making such a wholesome course .

I was trying to learn machine learning from the past few months but the information was scattered and I became directionless.

This course is the best thing happened to me in year

By Yash M

•

Sep 21, 2024

This course taugh me the basics of machine learning types of machine learning and how machine learns what is supervised learning . This course is the best course out there and no course can explain as great as andrew ng explains with practical and theory concepts