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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
25,519 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

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.

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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2126 - 2150 of 4,980 Reviews for Supervised Machine Learning: Regression and Classification

By HIMANSHU L

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Mar 26, 2023

Great Course. Very Helpful for any machine Learning practitioner or beginner

By Rajesh B

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Mar 22, 2023

Meaningful and in-depth understanding about linear and logistic regressions.

By Muhammad H K

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Feb 18, 2023

To the point and Amazing Course …. Thanks Sir Andrew Ng and Thanks Coursera.

By Muhammad A H

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Dec 24, 2022

This course is one of the best resources to get started in machine learning.

By Hunain A

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Sep 26, 2022

It was absolute wonderful at the pace and details, the course went through.

By Louis S

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Sep 17, 2022

Excellent introduction to ML. Too basic for people with a background in DS.

By Баран Д І

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Aug 29, 2022

The structure of course is amazing. Explanation is decent! 5 starts no doubt

By Trinanjan D

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Aug 23, 2022

It was an excellent course with simple understanding and easily presentable.

By AbdulRahman A

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Aug 22, 2022

very good course, but i hope to get SVM with Mr.Andrew as i got regression.

By Abbas H B 2 F N L

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Aug 20, 2022

Excellent Course, goes in deeper concepts and makes maths look easy and fun.

By Kizmaz E

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Aug 11, 2022

a very impressive, entertaining and productive course. Thanks for everyting.

By Fabio

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Aug 4, 2022

Great course with fundamentals of linear regression and logistic regression.

By Ahmed S

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Jul 31, 2022

it was amazing and very easy to understand ,I highly recomminded to take it

By Salman A

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Jul 30, 2022

Probably one of the best course for begineers. Thank you Profrssor Andrew Ng

By kunal t

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Jul 22, 2022

This is awesome refresher on the supervised learning, glad I opted for this.

By Steve S

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Jul 1, 2022

I should have taken this course prior to the CNN series. Fantastic job !!!!!

By CHRISTIAN G

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Jun 30, 2022

Wish the assignments were a bit more challenging but the lecture was great!

By Natesh R

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Jan 1, 2025

Best course i have ever seen to know the concepts with mathematical details

By Roshan S

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Nov 5, 2024

This course is one of the reasons why I trust Coursera as my career partner

By Johannes G

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Aug 20, 2024

Great intro to machine learning and for practicing basic python programming

By Ronald P T R

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Jul 7, 2024

Por el contenido, la exposición, los laboratorios de algoritmos con Python

By Ryoko R

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Apr 3, 2024

It is challenging content for beginners but a precious learning experience.

By Elisa G A

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Nov 16, 2023

Curso fácil de seguir y muy cuidado en el orden. Contenido muy interesante.

By VARUN G 1

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Sep 6, 2023

Excellent course that provides an in-depth knowledge on supervised Learning

By Sinan K

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Aug 14, 2023

Very easy to understand hence welcoming for those who are new to the field.