The objective of this data science project is to analyze and predict customer behavior in the groceries market using Python and create a graphical user interfac

PROJECT 1: RFM ANALYSIS AND K-MEANS CLUSTERING: A CASE STUDY ANALYSIS, CLUSTERING, AND PREDICTION ON RETAIL STORE TRANSACTIONS WITH PYTHON GUI The dataset used

In this case study, we will explore RFM (Recency, Frequency, Monetary) analysis and K-means clustering techniques for retail store transaction data. RFM analysi

The dataset used in this project consists of the growth of supermarkets with high market competitions in most populated cities. The dataset is one of the histor

In this book, we conducted a customer segmentation, clustering, and prediction analysis using Python. We began by exploring the customer dataset, examining its