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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

4.5
estrellas
897 calificaciones
124 reseña

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

AD

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.

VB

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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101 - 124 de 124 revisiones para Linear Regression with NumPy and Python

por Utkarsh S

12 de jun. de 2020

Overall it was a good and nice experience if someone wants to practice themselves.

por Hariprasad M

3 de jul. de 2020

Good Project, but need to make sure more time is available for explanation.

por VISMIT C

28 de abr. de 2020

Some parts are well explained and it's pretty easy for a beginner too

por UTKARSH D

2 de jun. de 2020

Teachers teaching snkills are very good.Course is good for beginer

por mdsaiful b

18 de abr. de 2020

I HAVE SLOW CONNECTION IN MY COUNTRY BUT PROJECT IS GOOD

por Divyesh M

26 de jun. de 2020

you have to explain more into math equations.

por Khurdula H

23 de may. de 2020

great course , short and wonderful

por ROHAN K 1

1 de may. de 2020

good for a foundation.

por Shashank R

3 de jun. de 2020

Good One for Starters

por HARSH G

3 de jun. de 2020

It was just right

por hemantha k

22 de may. de 2020

good instucter

por Umesh K P

7 de jun. de 2020

Nice Project

por Shashank H

24 de may. de 2020

Basic

por SHREYAS H M

18 de may. de 2022

good

por Polipalli S S

11 de may. de 2022

good

por Asadi K R

25 de ene. de 2022

good

por Ashrender K G

1 de jun. de 2020

...

por Krishno S

6 de nov. de 2020

Good. But the python coding could have been explained more. The instructor is knowledgeable and competent

por Mir S H

4 de may. de 2020

Server was slow. Also for newbies everything is not fully described.

por NALAM

11 de may. de 2020

need better platform

por gunda n v j

28 de may. de 2020

Nice

por Shubh A

13 de jun. de 2020

OK

por Rohit G

12 de jun. de 2020

The rhyme working screen doesn't open throughout the course.

por Ons R

31 de may. de 2022

, : nlnmmmmmmmmmmmmmmmmm