About this document
Clickstream Data Analysis for Online Sales by Thái An is a document available to read on EtoBox.
This report presents a study on clickstream data for online shopping, focusing on predicting user navigation patterns using machine learning techniques. The research utilizes a dataset from 2008 to analyze user behavior and develop predictive models, with the Random Forest Classifier achieving the highest accuracy. The findings suggest actionable business insights for optimizing online sales strategies in the clothing sector for pregnant women.
- Author
- Thái An
- Language
- EN