Online shoppers purchasing intention dataset consists of feature vectors belonging to 12,330 sessions. The dataset is formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period. More than 84% online sessions did not result in users completing the purchase and consequently did not generate any sort of revenue for the e-commerce website. This is a very serious issue which can affect the company’s market share in future in a negative way.
Dataset link: https://archive-beta.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
Author: Zoran Vujičić
Professor: prof. dr Nenad Mitić
Teaching Assistant: Stefan Kapunac
Requirements:
pip3 install numpy
pip3 install pandas
pip3 install seaborn
pip3 install matplotlib
pip3 install joblib
pip3 install sklearn
pip3 install imbalanced-learn