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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
30,729 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 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.

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

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4201 - 4225 of 5,815 Reviews for Supervised Machine Learning: Regression and Classification

By M R

•

May 17, 2023

It is simply excellent

By 陈曦

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Apr 9, 2023

very nice, keep moving

By S S

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Oct 24, 2022

A great start with ML

By Karan D

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Sep 26, 2022

Execptional Teaching!

By Tahir I B

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Aug 19, 2022

Really awesome course.

By Helio A

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Aug 5, 2022

Amazing, state of art

By Erfan M

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Oct 14, 2025

The best intro to ML.

By Berkh J

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Oct 11, 2025

Perfect for beginners

By Divine J

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Aug 25, 2025

Incredible! Thank you

By Ali D

•

Aug 17, 2025

Andrew Ng is the BEST

By Lakshya G

•

Aug 5, 2025

Fantastic Course!!!!!

By Marek P

•

May 19, 2025

coherent and engaging

By Zak R

•

May 11, 2025

Definitely Recommend!

By Alberto F

•

May 8, 2025

Genial, muy didáctico

By Lee_Infinitee

•

Feb 2, 2025

a solid foundation :)

By Fateme Y

•

Nov 6, 2024

Your review(optional)

By Francisco J M S

•

Oct 15, 2024

Andrew is a genius :D

By Vando G

•

Oct 13, 2024

Amazing learning path

By Harshavardhan D

•

Jul 6, 2024

great knowledge *****

By AIMANE C

•

May 5, 2024

Really amazing Course

By しみずはるたか

•

Apr 15, 2024

Andrew Ng is awesome!

By Parham

•

Feb 16, 2024

excellent , brilliant

By Parag P *

•

Jan 4, 2024

Perfect for beginners

By Saqlain M A S

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Dec 2, 2023

Very Well explained .

By cliffert t

•

Oct 11, 2023

Amazing math and code