Skip to content

Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).

agujral/Ecommerce_dataset

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Ecommerce_dataset

Used linear regression model to train and test the data , evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).

The Ecommerce company that sell clothing online is trying to decide whether to focus their efforts on their mobile app experience or their website.

It has Customer info, suchas Email, Address, and their color Avatar. Then it also has numerical value columns:

Avg. Session Length: Average session of in-store style advice sessions. Time on App: Average time spent on App in minutes Time on Website: Average time spent on Website in minutes Length of Membership: How many years the customer has been a member.

About

Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published