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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
28,030 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

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

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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3351 - 3375 of 5,364 Reviews for Supervised Machine Learning: Regression and Classification

By Abdul Q

•

Jan 30, 2023

Amazing course, Thankful to Andrew N.G

By Lyndon G

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Jan 12, 2023

Good introduction to ML for beginners!

By Padmaraju R K R

•

Dec 27, 2022

One of the best course for beginners .

By Guotong

•

Nov 12, 2022

great lecture. intuitive and practical

By Navas T

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Aug 18, 2022

The course is very good for beginners.

By Tebalo K

•

Aug 11, 2022

The best machine learning course ever

By Alaa S A E

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Jul 14, 2022

good content and excellent instructor

By Karn T

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Jul 8, 2022

Good Course with Python Implementation

By Mohamed E

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Apr 22, 2025

Nice course I truly benefitted a lot.

By Celismar O

•

Mar 15, 2025

Excelent course. Very well explained.

By Juan P M M

•

Feb 3, 2025

You understand completely the thoery.

By Victor T

•

Feb 2, 2025

Simple and Clear - Great way to teach

By Abhishek K

•

Jan 15, 2025

A good way to start machine learning.

By Mueed R

•

Nov 26, 2024

Best course available for starting AI

By Kandula S D

•

Nov 13, 2024

A very good explanation by Andrew sir

By Aryan S

•

Oct 22, 2024

Amazing course definitely recommended

By Maths f A

•

Oct 5, 2024

Really beneficial to the job seekers.

By Haoran F

•

Sep 9, 2024

Comprehensive & friendly for beginner

By Karolina g

•

Sep 4, 2024

muy bien explicado, facil de entender

By Hussain D

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Sep 4, 2024

I enjoyed it and loved the challenges

By Immanuel . A . D

•

Jul 25, 2024

Very helpful especially for beginners

By Nathan G

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Jul 13, 2024

Amazing! Really easy to follow along!

By nachiket k

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Jul 7, 2024

one of the best teacher out there !!!

By Jovie C

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May 19, 2024

very good course for machine learning

By Diamond G

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Mar 24, 2024

Well explained and easy to understand