Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (5853 reviews)

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

4.9

stars

30,880 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

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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3401 - 3425 of 5,850 Reviews for Supervised Machine Learning: Regression and Classification

By XIAO Y Z

Jul 4, 2023

The structure for the Labs are very helpful!

By Eren U

Jun 7, 2023

Incredibly interesting and insightful course

By Ghizlan A

May 13, 2023

j'ai apris beacouq de choses dans ce cour la

By Jai S K S C S

May 8, 2023

Loved the course and Andrew was just amazing

By Akshay P

Apr 12, 2023

It was such a good and well mannered course.

By B_18_ C P

Mar 18, 2023

complete all my ml basics. excellent course.

By Deleted A

Mar 9, 2023

very nice course and explanation is also grt

By NAZIM A

Mar 1, 2023

A very good introduction to Machine Learning

By Imran k

Feb 25, 2023

One of the best online learning experiences!

By 艾昊（AisingioroHao）

Jan 30, 2023

Very friendly for machine learning beginners

By Michael A

Dec 6, 2022

Very good quality, world class explanations.

By Tanmay G

Dec 2, 2022

Great Content! Sincere Thanks Andrew Ng Sir!

By Abu B

Oct 29, 2022

The course is amazing. Thank you Andrew NG.

By FU D

Oct 21, 2022

Excellent courses! just can't stop learning.

By Martin M

Sep 9, 2022

Very good introduction to machine learning!

By Ajay S

Sep 6, 2022

Good Course Content.. Excellently Designed.

By Kamal K

Sep 6, 2022

I was expecting more rigorous practice labs.

By pritam s

Sep 5, 2022

great course for basics of machine learning

By Heet P

Aug 19, 2022

this is awesome!!!! more power to andrew sir

By Robert K

Aug 9, 2022

Excellent detailled explanations. Well done.

By Ajit N

Aug 7, 2022

ample amount of knowledge got for the course

By Daniel J

Aug 31, 2025

This is one of the best courses I have seen

By Hernan M

Jul 29, 2025

Excellent resource. I enjoyed it very much.

By KOLA.VENKATA.SAI.PUTRAYYA K

Apr 5, 2025

as a beginner i really enjoyed this course.

By SAYAM P

Mar 4, 2025

Wow such clear explanations really loved it