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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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3351 - 3375 of 5,762 Reviews for Supervised Machine Learning: Regression and Classification

By Zhida H

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Dec 30, 2023

I really enjoy the course. Thank you Andrew!

By SARVESH V

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Dec 23, 2023

I got my skill brush up widen my thinking

By PANIT S

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Dec 17, 2023

Very beginner friendly, highly recommend it!

By Thomas W

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Sep 2, 2023

Wish that this was included in Coursera Plus

By Behzad

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Aug 20, 2023

My favorite course on the platform so far!

By Volodymyr S

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Aug 17, 2023

A very good course for beginning AI journey.

By Krishna C K

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Aug 8, 2023

Amazing teaching process. Thank You, Andrew.

By XIAO Y Z

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Jul 4, 2023

The structure for the Labs are very helpful!

By Eren U

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Jun 6, 2023

Incredibly interesting and insightful course

By Ghizlan A

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May 12, 2023

j'ai apris beacouq de choses dans ce cour la

By Jai S K S C S

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May 8, 2023

Loved the course and Andrew was just amazing

By Akshay P

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Apr 11, 2023

It was such a good and well mannered course.

By B_18_ C P

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Mar 18, 2023

complete all my ml basics. excellent course.

By Deleted A

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Mar 9, 2023

very nice course and explanation is also grt

By NAZIM A

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Mar 1, 2023

A very good introduction to Machine Learning

By Imran k

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Feb 24, 2023

One of the best online learning experiences!

By 艾昊（AisingioroHao）

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Jan 30, 2023

Very friendly for machine learning beginners

By Michael A

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Dec 5, 2022

Very good quality, world class explanations.

By Tanmay G

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Dec 2, 2022

Great Content! Sincere Thanks Andrew Ng Sir!

By Abu B

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Oct 28, 2022

The course is amazing. Thank you Andrew NG.

By FU D

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Oct 20, 2022

Excellent courses! just can't stop learning.

By Martin M

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Sep 9, 2022

Very good introduction to machine learning!

By Ajay S

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Sep 6, 2022

Good Course Content.. Excellently Designed.

By Kamal K

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Sep 5, 2022

I was expecting more rigorous practice labs.

By pritam s

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Sep 5, 2022

great course for basics of machine learning