Online Customer Segmentation using Clustering and Regression Analysis

Analyze a dataset containing online retail customer behaviour , spend and visits on different categories.

The objective of this project is to group customers in different groups based on similarities found on their shopping behaviour and predict their spend in the next period.

The analysis techniques that will be used are Clustering and Linear Regression and will be conducted in Python program.

The dataset is available at: http://archive.ics.uci.edu/ml/datasets/online+retail.

The project proposal requires to have literature review about online retail and analysis techniques