From browsing time to spending
Linear regression relates customer behavior on web and app channels to yearly spending.
Try the method
Interactive explainerHow it works.
Explore customer behavior
Examine correlations among time on app, time on website, session length, and membership.
From the original project.
Saved artifacts · click to inspect
Original artifact ↗
Original artifact ↗
Continue in the source.
Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.
git clone https://github.com/eforus-overseer/Ecommerce-Customers-Data.gitRead the setup and requirements ↗Project artifacts.
Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.