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Comentários e feedback de alunos de Linear Regression with Python da instituição Coursera Project Network

341 classificações
39 avaliações

Sobre o curso

In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, it's still a great idea to learn to implement it on your own to understand the mechanics of optimization algorithm, and the training process. Since this is a practical, project-based course, you will need to have a theoretical understanding of linear regression, and gradient descent. We will focus on the practical aspect of implementing linear regression with gradient descent, but not on the theoretical aspect. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Melhores avaliações


Jun 05, 2020

Good refresher course on linear regression! It would have been great had the Instructor covered few of the statical tests or multivariate regression model.


May 25, 2020

Great course.\n\nLearn new topics like forward passing and backward passing to update parameters for prediction in regression

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26 — 39 de 39 Avaliações para o Linear Regression with Python

por igor k

Jun 06, 2020

Nice project


Jun 01, 2020

thank thanks

por Nandivada P E

Jun 15, 2020

nice course

por Doss D

Jun 23, 2020

Thank you

por rayudu.chinnarao

May 14, 2020


por Uppalapati. S S

Jun 14, 2020


por p s

Jun 24, 2020


por tale p

Jun 22, 2020


por Peyyala s

Jun 17, 2020


por Subhajit P

May 31, 2020


por gunda n v j

May 26, 2020


por Keerthi G M

May 15, 2020

overall course was good but i certificate i mention course have completed , it would be good if project like statement have mentioned

por Shubham P

May 31, 2020

Excellent course... thank you coursera


May 23, 2020

Good Course