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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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1201 - 1225 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Suveer C

Aug 20, 2023

Good structure to begin the ML journey. Handholding in Math equations and NumPy is great. Enables a beginner to understand the concepts.

By Truong T N

Jul 24, 2023

Well designed course and thoughtful. Help you learning and implementing the building blocks for practical machine learning applications.

By Ewa K

Jun 12, 2023

Great content, explained in the pedagogical way, motivational form of the course and fantastic utilization of online tools for teaching.

By David G

May 31, 2023

Too longer than expected as it's necessary to get familiar with the numpy libraries, and I went further than what's minimally necessary.

By Durlov

Mar 25, 2023

It was good, but I wish there were additional supplementary problems that I could work on to get more confidence regarding the concepts.

By Manuel D R

Jan 30, 2023

Great course for learning the basics of Machine Learning as it explains the mathematics, algorithms, and their implementation in Python.

By Leon C

Dec 14, 2022

Great first technical course on Supervised Learning. Well taught, well designed. I needed a first intro to A.I. and thsi was perfect.

By Αντώνιος Τ

Sep 13, 2022

It was a pleasure learning from the best. Andrew Ng is really awesome in pointing all the details without loosing the complete picture!

By varun c

Sep 6, 2024

It was such an awesome journey to get insights and learn about regression models. Helped me a lot to debunk the basic concepts as well.

By sohaib l

Aug 30, 2024

The best managed and designed course on Regression and Classification on the internet. Adequate material and practice labs and quizzes.

By Nicolás C S

Jun 24, 2024

Curso genial para introducirte en el mundo del machine learning, con explicaciones clarisimas y sencillas y laboratorios muy completos.

By HERNAN D M P

Apr 18, 2024

El contenido del curso es muy interesante y la forma en la que se trabaja el material es de fácil comprensión. Gracias profesor Andrew.

By Saksham _

Apr 15, 2024

Codes also should've been explained. He Only Covered the theory part. Still, it was awesome learning. Thank You AndrewNG and Coursera.

By Syed A M

Nov 17, 2023

Great Course and Great Teacher. Thank you Andrew Ng (Deeplearning.ai) and Stanford for putting in the effort in developing this course.

By Debrup M

Aug 30, 2023

It was really helpful and easy to understand for someone like me who has never written a line of code before. I want to thank the team.

By Srisudharshan M

Aug 24, 2023

The course was well handled by the professor. The labs are made simple and easy for better understanding even for beginners in python!

By MOHAMED N

Sep 27, 2022

Very basic and fundamental understanding of regression and classification problems using ML.

Great course, great material and support!

By Swaleh C

Aug 28, 2022

The course is optimally simplified without diluting the context. Highly recommend this course for those breaking in to Machine Learning

By Ayushman H

Aug 22, 2022

Better than the previous machine learning course. All concepts are visualized and optional labs are superb to strengthen your concepts.

By Anna M

Jul 25, 2022

Andrew Ng is an amazing teacher and I greatly enjoyed this course! Thank you for refreshing the content and making it work with Python.

By Ivan B

Sep 18, 2024

The theoretical explaining was great but exercises where you can code the "theory" take to the next level of understanding. I liked it

By Chong W

Jul 8, 2024

Dr.Ng is very good at explaining concepts in a simple way. Really recommend this course, not a lot of cs and math background required.

By Mr C N

Jun 29, 2024

Really enjoyed course. I am going to review again before I start the second course. Want to make sure I have a complete understanding.

By sarthak j

May 15, 2024

Everything is explained perfectly and from the scratch. There are labs too so that you can apply what is learnt in the theory classes.

By Nishant J

Apr 5, 2024

It was a great experience learning the different algorithms and using the maths that i learned in highschool actually be implemented .