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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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1101 - 1125 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Sumedh K

Sep 3, 2022

Amazing course and really appreciate the efforts put in by Andrew Ng and his team. Thrilled to learn the math behind Linear and Logistic Regression.

By rashid a

Aug 11, 2022

Andrew as instructor never disappoints. The concepts are explained in structured manner and were made understandable for the students to grasp them.

By Aysan K

Jul 22, 2022

an other great course by prof Andrew Ng ! It was really fun and good and updated version. Thank you coursera team ! thank you deepleearning.ai team!

By Ganesh K

Sep 23, 2024

Excellent course. Everthing explained in simple manner. Labs are too good. Thanks coursera for providing this course for free through financial aid

By Sohum J

Sep 2, 2024

I really liked how the course explained everything from the bottom up even the simple things that should be common sense, it gave great refreshers!

By Iñigo L

Jul 31, 2024

The practice lab in week 3 was a bit confusing, because there was some misleading code already writen between "Start code here" and "end code here"

By Mohamed B ( Y S

Mar 10, 2024

Super helpful and great pace. I have learned a lot from the course and the lab. Thanks to each person who contributed to that especially Andrew Ng.

By Ranjith S

Jan 7, 2024

Completed common basics such as basic regression models and classification models required for Machine Learning. - A very good introductory course.

By Jay Y

Aug 26, 2023

Thank you great course, and excellent material presentation by Prof Andrew Ng.

Also thank you for the code, helps a lot to understand the flow of ML

By Aydin S A

Aug 22, 2023

It was incredibly helpful and i am very thankful for this course but I wish it had more optional studies going through more math and other details.

By Janardhan P P

Jul 20, 2023

I would rate this course as the best option for beginners ,

below are the few areas i feel that can be elaborated

Numpy Examples and few hands on

By Júlia B d A P

Jul 18, 2023

Excelente curso, nele aprendemos não só a implementação de modelos de regressão e classificação, mas também todos os conceitos por traz da técnica.

By lutaaya a

May 23, 2023

Best course i have ever taken online, and has really helped me get started in this messy world of Machine Learning, Personal thanks to Andrew NG.🙏

By Praveena D H

Feb 2, 2023

Course content covers a vast area in regression and classification. Instructor is very friendly and explains all the content in an interesting way.

By shani

Aug 17, 2022

Got a conceptual understanding of various algorithm used in machine learning.

very well curated course ,experienced interactive and visual learning.

By Robin G

Jun 27, 2022

The class is a very nice introduction to the topic. It gives both an intuitive and formal understanding of the topics covered. Highly recommend it.

By Carole M

Oct 21, 2024

Ce cours est très bien fait, il permet de suivre étape par étape et est adapté à tout niveau. Je le recommande sans hésiter. Merci pour ce cours !

By Nishit J

Aug 16, 2024

This course is really the best course available on the internet worldwide. I didn't had any background of data science or machine learning before.

By Amin M

Jul 27, 2024

The best online course I have ever taken. Feels slow at first, but after a while you will realize the beauty. Definitely recommended for everyone.

By Ayush C

Jun 30, 2024

A superb course, covering all the mathematics and logic required for the basics of supervised learning, and instructor Andrew Ng was incredible !!

By Herbert P

Mar 11, 2024

This is an excellent course of Machine Learning and A.I. Which has enabled me to apply what I have learned within the Python programming language!

By Alexander S

Jul 16, 2023

The projects and assignments challenged me in the best way possible, and the supportive course community made the learning experience even better.

By Dipanjan B

Jun 12, 2023

The course is amazing.

It would have been nice if there was an example code on how to calculate and plot higher-order polynomial decision boundary.

By Bryan D M A

May 16, 2023

Great introduction to Machine Learning. This is a more accessible version of the first course, so the content and activities are fit to beginners.

By Mahdi Q

Jan 11, 2023

This is a great course being taught by Dr.Andrew Ng , a great istructor who can easily explain difficult topics. Thank him and his fantastic team.