Project Overview

This project is representative of an e-commerce company that sells clothing online but also has in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes that they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website. Using the dataset, explore the possibilities the company has and what courses of action could help them make the decision.

We also analyze our data to look into how features correlate with each other and how they impact our target variable.



Correlation between Length of Membership and Yearly amount spent


After training our model, we look at the residuals to see how they are distributed.

Distribution of residuals

Using scikitlearn and the Linear Regression model, we predict how much a customer would spend per year, given the time they spend on the website, mobile app, length of membership and average session time at the store.

Head over to the link below to check out the entire python notebook which contains a more in-depth exploration of the data along with the steps involved in training our model and evaluating its performance.

• Repository