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Volver a Linear Regression with NumPy and Python

Opiniones y comentarios de aprendices correspondientes a Linear Regression with NumPy and Python por parte de Coursera Project Network

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Acerca del Curso

Welcome to this project-based course on Linear Regression with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent and linear regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed....

Principales reseñas


24 de may. de 2020

It is a great project and an excellent experience to learn practical exposure to Linear regression with nmpy and python. I am waiting to get another project.


9 de jul. de 2020

Best Project ever we have seen, all plotting and code are explain in very well manner and its definitely increase my knowledge in machine learning

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126 - 129 de 129 revisiones para Linear Regression with NumPy and Python

por gunda n v j

28 de may. de 2020

por Shubh A

13 de jun. de 2020

por Rohit G

12 de jun. de 2020

por Ons R

31 de may. de 2022