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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

4.4
estrelas
817 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

AD
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.

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

por NALAM J

11 de Mai de 2020

need better platform

por gunda n v j

27 de Mai de 2020

Nice

por Shubh A

13 de Jun de 2020

OK

por SUBIKESH P S

1 de Jun de 2020

The teaching in the project was great! But I think if the dataset of the project was better in terms of number of features, it would have been better. For this to be a complete project, there should be a test data, and accuracy should be calculated, which was not done in this project. Overall the structure of this project is so easy and can be useful for those who really start up with ML.

por Purvansh P

6 de Jun de 2020

The important points should be discussed thoroughly, The instructor was not able to make the user understand why he was using this and that part, he lacked some teaching skills.

por Rohit G

11 de Jun de 2020

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

por SHUBH D

29 de Ago de 2020

Need to explain the basics first.

por Deepak S

12 de Jun de 2020

The purpose and logic are not explained well, also some ideas about library functions used should be described in bit, what they are doing, why are they used. Little approach about programming is also required to be added. I was pretty not satisfied with the course.

por Jatin K

14 de Mai de 2020

Not for beginners! Waste of time if you are entering into this field for the first time. The instructor just skips 80 % of the concepts and assumes you know everything.

Wasted my 2 hours for sure.

por Nasif I I

1 de Mai de 2020

Server too slow.