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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
678개의 평가
97개의 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 96개 리뷰 중 76~96

교육 기관: Khurdula H

May 23, 2020

great course , short and wonderful

교육 기관: ROHAN K

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

교육 기관: SUBIKESH P S

Jun 02, 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.

교육 기관: Purvansh P

Jun 06, 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.

교육 기관: Rohit G

Jun 12, 2020

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

교육 기관: Deepak S

Jun 12, 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.

교육 기관: Jatin K

May 14, 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.

교육 기관: Nasif I I

May 01, 2020

Server too slow.