In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
-
Updated
May 23, 2021 - Jupyter Notebook
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
Examining the purchasing habits of customers and segmenting according to these habits.
Segmenting store customers based on RFM (Recency, Frequency & Monetary)
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python .
To associate your repository with the segmenting-customers topic, visit your repo's landing page and select "manage topics."