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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
30,409 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

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.

AD

Nov 23, 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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3101 - 3125 of 5,762 Reviews for Supervised Machine Learning: Regression and Classification

By Usama 3

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Feb 21, 2023

It is absolutely best course, opened my mind on ML.

By Lance R

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Jan 19, 2023

Great introduction to ML algorithm implementation !

By Pietropaolo F

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Dec 9, 2022

Extremely interesting and well realized. Thank you!

By Ghulam M

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Nov 29, 2022

one of the outstanding course covers all the basics

By Thomas B

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Nov 18, 2022

Great course, well structured and at a steady pace.

By Rajiv R

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Nov 13, 2022

Great refresher of basic machine learning concepts.

By Prathamesh C

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Sep 21, 2022

This course is very helpful for me, a great course

By Grzegorz S

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Sep 17, 2022

Very detailed explanations, great labs and videos.

By Daian G

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Aug 4, 2022

Great course! It is all about the maths behind ML.

By Juan C B M

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Aug 4, 2022

Best course to get foundations of machine learning.

By Riddhi P

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Jul 24, 2022

Well structured course with in depth explanations !

By Kanai P

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Jun 28, 2022

Loved the pace of videos, and the programming labs.

By Suyash G

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Jul 18, 2025

Absolute no brainer for a beginner in this field!!

By Shaurya T

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Jun 5, 2025

Great curriculum, great graphics and great teacher

By Marek Ż

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May 31, 2025

Very well explained, I'm looking forward for more!

By Ekram F

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Apr 21, 2025

very very very perfict, It's a good starting point

By Sandra D

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Jan 24, 2025

Great course to get started with Machine Learning!

By Washington A

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Jan 18, 2025

Conteúdo extremamente objetivo, focado e didático!

By Mohsin K

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Jan 6, 2025

A good course for anyone who want to start with ML

By Vishesh B

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Jan 1, 2025

mathematically prooving should be more elaborative

By Dilanka K

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Dec 17, 2024

Nice , Super Learning Material to understand basic

By VIRAL D

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Jul 27, 2024

I found out to be best course for machine learning

By Julien F

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Jun 18, 2024

Awesome class and brilliant labs. Don’t skip them!

By Walter M M

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Apr 29, 2024

Excelente! Codigo y matematica muy bien explicados

By Luciano D

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Apr 8, 2024

Very broad set of concepts and learning modalities