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Multiple Linear Regression with scikit-learn(으)로 돌아가기

Coursera Project Network의 Multiple Linear Regression with scikit-learn 학습자 리뷰 및 피드백

340개의 평가

강좌 소개

In this 2-hour long project-based course, you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. By the end of this project, you will be able to: - Build univariate and multivariate linear regression models using scikit-learn - Perform Exploratory Data Analysis (EDA) and data visualization with seaborn - Evaluate model fit and accuracy using numerical measures such as R² and RMSE - Model interaction effects in regression using basic feature engineering techniques 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, this means instant access to a cloud desktop with Jupyter Notebooks and Python 3.7 with all the necessary libraries pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

최상위 리뷰


2020년 9월 15일

This project is great. Clearly explained and well delivered. I will highly recommend to take this project. The instructor is great!


2021년 2월 7일

Well paced, very informative, I felt I learnt skills that I can apply to practical problems immediately.

필터링 기준:

Multiple Linear Regression with scikit-learn의 54개 리뷰 중 26~50


2020년 9월 16일


교육 기관: tale p

2020년 6월 26일


교육 기관: p s

2020년 6월 25일


교육 기관: Vajinepalli s s

2020년 6월 16일


교육 기관: Abhishek P G

2020년 6월 15일


교육 기관: Katamreddy M r

2020년 6월 27일


교육 기관: YOGESH P

2020년 7월 1일

The course is well structured and all the important theories and concepts have been explained in a quite detailed fashion. One should definitely try out this course to strengthen their skills in foundational level machine learning.

교육 기관: Nikhil T

2020년 7월 6일

This course who wants to learn about basics and he has made it understand quite fine and apart from it quiz is very easy so you will pass but i would request him to atleast have 2 or more examples it would be much more better

교육 기관: Shubham A

2020년 4월 15일

Great course. Thanks to the instructor, The rhyme platform is sometimes very slow, content: (7/10),Audio clarity: (5/10), video clarity: (8/10), Rhyme platform performance: (4/10).

교육 기관: NHM H I C

2020년 4월 17일

Very good for freshers. Discussed the basic concepts and implemented them. They have a virtual computer so you need not install or download anything.

교육 기관: Isah A

2020년 11월 24일

Nice project for beginners. In the last video, there was a very useful concept of synergy which could be helpful for intermediate learners.

교육 기관: Pavithra K

2020년 8월 24일

good for beginners, loved the way the instructor explained about synergy (interaction among features)

교육 기관: Pratham A

2020년 6월 11일

Overall a good project, just a few functions here and there whose use I needed to figure out myself.

교육 기관: Hariprasad M

2020년 6월 26일

The project explained the basic concepts effectively but it is very short. Otherwise, it's good.

교육 기관: Sanketh R P

2020년 5월 16일

Whatever explained is satisfactory ,but it is short.We looking for more big projects.

교육 기관: Ammar S

2020년 7월 6일

Good analyzing ideas and efficient visualization metrics.

교육 기관: Yash S

2020년 6월 28일

there was no sound in video no. 6 after minute

교육 기관: Rohit k

2020년 6월 1일

It is very is easy to understand .

교육 기관: Chintoo K

2020년 9월 11일


교육 기관: SHRUTI S

2020년 5월 14일

Best for beginners

교육 기관: Alan B

2020년 4월 16일

Good course

교육 기관: K S

2020년 6월 16일

just right

교육 기관: chaitanya d

2020년 5월 9일

very good

교육 기관: M M A

2020년 7월 23일


교육 기관: ANIL V

2020년 5월 2일

The initiative by coursera is good. But the instructor made so many mistakes and typos, seems like he is not serious about his work.