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Customer-segmentation-on-Online-Retail-Data-Set

image

Customer segmentation (or market segmentation) are techniques to split customers into clusters based on similarities to get a sense of their behavior. In this notebook, we are going to analyze patterns in the Online Retail Data Set from the UCI Machine Learning Repository. A k-means model is used based on the RFM measures.

Archives

  • Customer Segmentation.ipynb: main file with the logic. the visuazlaition on GitHub does not show Plotly
  • Customer Segmentation.html: interactive option to see all the information no need to install something. You just have to download the html and run it in a browser
  • Online Retail.xlsx: dataset

Libraries used

Pandas, plotly, datetime, matplotlib, seaborn sklearn and math.

References