Chevron Left
Voltar para Linear Regression with NumPy and Python

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

814 classificações
111 avaliações

Sobre o 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....

Melhores avaliações

24 de Mai 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

Filtrar por:

51 — 75 de 110 Avaliações para o Linear Regression with NumPy and Python

por Nandivada P E

28 de Mai de 2020

nice project


11 de Jun de 2020

Good course

por Nithin K A

12 de Ago de 2020


por Doss D

14 de Jun de 2020

Thank you

por purnachand k

12 de Mai de 2020


por Saikat K 1

11 de Set de 2020


por Shreyas R

22 de Abr de 2020


por Kamlesh C

28 de Jun de 2020


por Ricardo J D G V

24 de Set de 2020


por Saadurya k v

18 de Jul de 2020


por Saurabh A

9 de Jul de 2020



27 de Jun de 2020


por p s

24 de Jun de 2020


por tale p

22 de Jun de 2020


por Abhishek P G

15 de Jun de 2020


por Thura W

11 de Jun de 2020


por Gaviri N

2 de Jun de 2020


por Rajesh K Y

24 de Mai de 2020



7 de Mai de 2020


por Dr. S R S

6 de Mai de 2020


por Mohammed A A

17 de Jun de 2020

The instructor is very well equipped with the knowledge and guides us through the project very well, its only the slow loading of the instructors video that made the learning experience bad. Took a 1.5 hour project 3 hours to complete even with high speed connectivity. Hope this gets fixed. Cheers.

por Dhiraj k

7 de Jun de 2020

the content of the course is too good and too useful to deeply understand the regression. However, the console of the code is too bad it's not working properly to code on that environment was frustrating. I think you should improve the coding environment.

por Suraj U

31 de Mai de 2020

The course and the instructor are good. The only problem is the remote desktop on which we are supposed to code. The course would have been better if the project was a little bigger and not just the coding of gradient descent.

por Niranjan B

18 de Mai de 2020

Great course , concepts were also explained nicely but somewhere I felt lost and was like what's going on . But rather than that everything was great and great experiencing ML while viewing it.

por Gogulan N

28 de Jun de 2020

Good for those with an understanding of regression and the maths behind. Ideal for those who just need help implementing the concept in code as opposed to learn it for the first time.