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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

4.5
284 个评分
49 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

HP

Sep 16, 2020

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

MS

Apr 29, 2020

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

筛选依据:

1 - Multiple Linear Regression with scikit-learn 的 25 个评论(共 48 个)

创建者 Roland N L

Nov 12, 2019

It helps a lot that the programming assignment (= the functions and methods of the various Python libraries for data analysis) is demonstrated in real-time. Thus, one can learn or try to memorize the correct syntax without the need to spend a lot of time to figure out where one forgot a dot, parentheses, square brackets, or an underscore; and focus more on the theoretical model (in this case multiple linear regression) and its related concepts themselves.

创建者 Hector P

Sep 16, 2020

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

创建者 Mayank S

Apr 29, 2020

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

创建者 Zahid Y

May 23, 2020

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

创建者 Diego R G

Mar 31, 2020

Better than the Michigan data science curses by 1 billion miles!

创建者 Mohammed A S

May 29, 2020

Very good learning guide, thanks for the real project.

创建者 mdasif r e

May 01, 2020

NICE GUIDED PROJECT BUT TOO SHORT

创建者 Hafizah A R

May 30, 2020

This is awesome!! Thank you!

创建者 Agnim s

Jul 16, 2020

very fruitful for beginner

创建者 MALKAREDDY K R

May 05, 2020

Very informative vedios

创建者 Senthil v S

Jun 16, 2020

Amazing explanation

创建者 Doss D

Jun 14, 2020

Thank you very much

创建者 Gangone R

Jul 04, 2020

very useful course

创建者 Suci K P

Jul 22, 2020

it's very clear

创建者 Nandivada P E

Jun 15, 2020

nice course

创建者 Carlos M C F

Aug 20, 2020

thank you

创建者 Anitha V

Jul 10, 2020

EXCELLENT

创建者 Julio T

Sep 11, 2020

Excelent

创建者 Aniruddh M

Jul 29, 2020

Amazing!

创建者 MD Z A

May 02, 2020

#Awesome

创建者 Pulluri R

May 06, 2020

Superb

创建者 PAVITHRA B

Sep 16, 2020

GOOD

创建者 tale p

Jun 26, 2020

good

创建者 p s

Jun 25, 2020

Good

创建者 Vajinepalli s s

Jun 16, 2020

nice