Code for our article describing our process of a creating a classifier predicting if a customer will purchase from a website.
Github repo consists of two files: Jupyter notebook containing data cleaning and model codes titled BDS Final Project Notebook.ipynb, and a csv file that was used from the UCI's machine learning repository titled ShoppingData.csv.
Code was created using given dataset and not expected to be extendable to other applications.
Co-authored by Martin Beck, Yeggi Lee, Tanvi Modi, Sasha Opela, Jackson Ross, Matt Zlotnik as a result of our Business Data Science final project.
Link to dataset for further research or interest: https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset