Efi's Demo Lab
Interactive explainer

From browsing time to spending

Linear regression relates customer behavior on web and app channels to yearly spending.

Try the method

Interactive explainer

How 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

model residuals distribution
Original artifact ↗
correlations visualized ecommerce data
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.git
Read 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.