This is a Data Science project aiming to predict the likelihood of a person shopping in a store using a Kaggle dataset. The majority of this project was coded in Python. All aspects to a classic data science project were performed: cleaning, exploring, feature engineering, modelling, and application. The model produced an accuracy of 91% and an F1 score of 0.81.

The full code and analysis can be found in this Google Colab link.