Data Scientist exercise: H&M Dataset

Given the historical transaction data, examine the dataset to individuate the most commonly bought together items, and the rarest combinations.

Association rule mining

The exercise has been completed by implementing the association rule mining method through the apriori algorithm.

repository used: https://borgelt.net/pyfim.html

Installing requirements

dataset: https://www.kaggle.com/c/h-and-m-personalized-fashion-recommendations

pip install -r requirements.txt
pip install pyfim==6.28