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Linear Regression with NumPy and Python(으)로 돌아가기

Coursera Project Network의 Linear Regression with NumPy and Python 학습자 리뷰 및 피드백

4.4
별점
791개의 평가
108개의 리뷰

강좌 소개

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....

최상위 리뷰

AD

May 25, 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

Jul 10, 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

필터링 기준:

Linear Regression with NumPy and Python의 107개 리뷰 중 76~100

교육 기관: Yash S

May 31, 2020

I want to give 5 stars but one star is less for rhyme environment it is not good , it's always have some technical problems .I suggest u to use another environment.

교육 기관: SIVAKUMAR R

May 08, 2020

Fundamentals were clearly made clear. Even though there was a lack of explanations on some areas, the tutor made the topic understandable as a whole.

교육 기관: Ramesh A I J

May 01, 2020

The server is too slow. One's patience gets tested here. Though these were some cons, the project was apt for learning Linear Regression.

교육 기관: Anik A

Jun 29, 2020

Good course but make sure to have some previous knowledge of linear algebra especially matrix multiplication.

교육 기관: Utkarsh S

Jun 12, 2020

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

교육 기관: HARIPRASAD M

Jul 03, 2020

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

교육 기관: VISMIT C

Apr 28, 2020

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

교육 기관: UTKARSH D

Jun 03, 2020

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

교육 기관: Mohd S B

Apr 18, 2020

I HAVE SLOW CONNECTION IN MY COUNTRY BUT PROJECT IS GOOD

교육 기관: Divyesh M

Jun 26, 2020

you have to explain more into math equations.

교육 기관: Khurdula H

May 23, 2020

great course , short and wonderful

교육 기관: ROHAN K 1

May 01, 2020

good for a foundation.

교육 기관: Shashank R

Jun 04, 2020

Good One for Starters

교육 기관: HARSH G

Jun 03, 2020

It was just right

교육 기관: hemantha k

May 22, 2020

good instucter

교육 기관: Umesh K P

Jun 07, 2020

Nice Project

교육 기관: Shashank

May 24, 2020

Basic

교육 기관: Ashrender K G

Jun 01, 2020

...

교육 기관: Manav G

Jun 18, 2020

The rhyme was very slow.....and in poor quality...video quality was intermediate but software quality is poor

교육 기관: Krishno S

Jun 15, 2020

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

교육 기관: Mir S H

May 04, 2020

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

교육 기관: Mohit M

Apr 27, 2020

Project is awesome but delivered in a boring way.

교육 기관: NALAM J

May 11, 2020

need better platform

교육 기관: gunda n v j

May 28, 2020

Nice

교육 기관: Shubh A

Jun 13, 2020

OK