- Download the dataset Online Retail and put it in the same directory as the iPython Notebooks.
- EDA notebook which is an exploration of the data.
- Market Basket Analysis to study customers purchases (Product association rules - Apriori Algorithm).
- Customer Segmentation to help us divide them into groups. (RFM Analysis - Clustering using K-means)
Perspectives:
- Classification of new customers into discovered segments.
- Clustering of transaction dataset based on its initial features (CustomersID, InvoiceDate,etc), apply PCA, feature selection.
- Create new features (Time, Day of week, Month) to explore customers behavior per time/day.