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學生對 Coursera Project Network 提供的 Multiple Linear Regression with scikit-learn 的評價和反饋

4.4
221 個評分
38 條評論

課程概述

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....

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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

篩選依據:

1 - Multiple Linear Regression with scikit-learn 的 25 個評論(共 38 個)

創建者 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.

創建者 Mayank S

Apr 29, 2020

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

創建者 Zahid Y

May 23, 2020

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

創建者 Diego R G

Mar 31, 2020

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

創建者 Mohammed A S

May 29, 2020

Very good learning guide, thanks for the real project.

創建者 mdasif r e

May 01, 2020

NICE GUIDED PROJECT BUT TOO SHORT

創建者 Hafizah A R

May 30, 2020

This is awesome!! Thank you!

創建者 MALKAREDDY K R

May 05, 2020

Very informative vedios

創建者 Senthil v S

Jun 16, 2020

Amazing explanation

創建者 Doss D

Jun 14, 2020

Thank you very much

創建者 Gangone R

Jul 04, 2020

very useful course

創建者 Nandivada P E

Jun 15, 2020

nice course

創建者 Anitha V

Jul 10, 2020

EXCELLENT

創建者 MD Z A

May 02, 2020

#Awesome

創建者 Pulluri R

May 06, 2020

Superb

創建者 tale p

Jun 26, 2020

good

創建者 p s

Jun 25, 2020

Good

創建者 Vajinepalli s s

Jun 16, 2020

nice

創建者 Abhishek P G

Jun 16, 2020

ok

創建者 Katamreddy M r

Jun 27, 2020

I

創建者 Yogesh P

Jul 01, 2020

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.

創建者 Nikhil T

Jul 06, 2020

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

創建者 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).

創建者 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.

創建者 Pratham A

Jun 11, 2020

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