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学生对 Coursera Project Network 提供的 Multiple Linear Regression with scikit-learn 的评价和反馈

4.4
266 个评分
43 条评论

课程概述

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....

热门审阅

MS

Apr 29, 2020

Good Course. Extended my knowledge to implement multivariable Linear Regression. Thanks.

ZY

May 23, 2020

Best Course to linear regression basic to get advanced knowledge in neural network

筛选依据:

26 - Multiple Linear Regression with scikit-learn 的 42 个评论(共 42 个)

创建者 Shubham A

Apr 15, 2020

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).

创建者 NHM H I C

Apr 17, 2020

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

创建者 Pratham A

Jun 11, 2020

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

创建者 HARIPRASAD M

Jun 26, 2020

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

创建者 PATLOLLA S R

May 16, 2020

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

创建者 Ammar S

Jul 06, 2020

Good analyzing ideas and efficient visualization metrics.

创建者 Yash S

Jun 28, 2020

there was no sound in video no. 6 after minute

创建者 Rohit k

Jun 01, 2020

It is very helpful.it is easy to understand .

创建者 SHRUTI S

May 14, 2020

Best for beginners

创建者 Alan B

Apr 16, 2020

Good course

创建者 K S

Jun 16, 2020

just right

创建者 Chaitanya r d

May 09, 2020

very good

创建者 M M A

Jul 23, 2020

Ok

创建者 ANIL V

May 02, 2020

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

创建者 KALIDINDI A K R

May 26, 2020

Not Clear Expected Mathematical explanation

创建者 S S P

Jun 02, 2020

Not able to complete the course. The left side screen is connecting. I don't know why? Hence I have stopped learning.

创建者 Surineni s

May 12, 2020

ITS GOOD