This project was completed as a part of the Customer Analytics in Python course from 365 Data Science.
This project was aimed to analyze the customers purchasing behavior from a supermarket. First, we need to do the KYC analysis to know your customer, and then process the purchase probability analysis, brand choice probability analysis and purchase quantity analysis.
Tools used: numpy, pandas, scipy, matplotlib, seaborn, sklearn
The 'segmentation data' file is the raw data, and the 'segmentation data legend' is the legend of the raw data.