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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
27,853 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 25, 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 24, 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.

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2151 - 2175 of 5,337 Reviews for Supervised Machine Learning: Regression and Classification

By Nicky R

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Nov 11, 2024

Excellent Course by the best of the Best. I wish Andrew Ng was always my Teacher!

By Sadegh M A

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Oct 25, 2024

Very comprehensive and practical. Try to learn vectorization well. Thanks Andrew!

By Jade

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Oct 14, 2024

It was a detailed explanation by Andrew Ng, and kudos to all who made it possible

By Shahzaib K

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Sep 29, 2024

Although it is a beginner-level course, it gives you confidence and improves you.

By Rohan S P

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Sep 20, 2024

Very informative! May take time to grasp but when it links, it becomes super fun!

By Sal T

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Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

By Abhinav S

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Feb 14, 2024

This course is great for beginners. It is the best course that you can follow....

By Gerry M

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Jan 8, 2024

A terrific introduction to linear and logistic regression using machine learning.

By Shailendra M

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Sep 18, 2023

Superb content, the greatest teacher, and excellent revisions. Thoroughly enjoyed

By Gwri P

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Aug 11, 2023

Andrew does a fantastic job of explaining the concepts and math. Time well spent.

By Isoon A

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May 6, 2023

This course is definitely the best ML course to start with. Andrew Ng is awesome!

By Geetha R

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Mar 10, 2023

Andrew Ng is a great instructor! Thank you very much for offering this course....

By Greg D

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Oct 3, 2022

Gets you up and running in linear and logistic regression quick and seamlessley.

By Sajjad A T V 4 B C E

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Sep 20, 2022

Excellent session. Well organised for easy understanding and practicing problems.

By Amar

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Sep 15, 2022

I understand the theory and was able to implement vertozied code.. feeling happy

By Mario T

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Aug 21, 2022

Great revision of the contents! this is my second time I did it and I enjoyed it!

By Otuazohor P

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Aug 7, 2022

It was a very detailed and down to earth introduction to machine learning for me.

By John

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Aug 2, 2022

Excellent Course in every regard. Looking very forward to the next in the series!

By Gautam S

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Jul 16, 2022

I really like the way the course is structured in a very simple yet thorough way.

By Ashutosh M

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Dec 20, 2024

I actually quite enjoyed this course. I learned a lot about logistic regression.

By Mohit R

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Oct 3, 2024

It was a wonderful experience for me. I learnt a lot from Andrew, thanks to him

By 30na r

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Aug 21, 2024

The scientific concepts are fluent and clear for any academic learner, so great!

By Keerthan G

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Jun 24, 2024

Loved the intuitions and math behind Linear and Logisitic Regression Algorithms!

By David P

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May 22, 2024

Great material and instructional videos. Found the courses interesting and fun!

By Aayush K

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Apr 12, 2024

This guy is so down to earth and really explains it from the complete beginning.